/*!
* pixBilinearPtaColor()
*
* Input: pixs (32 bpp)
* ptad (4 pts of final coordinate space)
* ptas (4 pts of initial coordinate space)
* colorval (e.g., 0 to bring in BLACK, 0xffffff00 for WHITE)
* Return: pixd, or null on error
*/
PIX *
pixBilinearPtaColor(PIX *pixs,
PTA *ptad,
PTA *ptas,
l_uint32 colorval)
{
l_float32 *vc;
PIX *pixd;
PROCNAME("pixBilinearPtaColor");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
if (!ptas)
return (PIX *)ERROR_PTR("ptas not defined", procName, NULL);
if (!ptad)
return (PIX *)ERROR_PTR("ptad not defined", procName, NULL);
if (pixGetDepth(pixs) != 32)
return (PIX *)ERROR_PTR("pixs must be 32 bpp", procName, NULL);
if (ptaGetCount(ptas) != 4)
return (PIX *)ERROR_PTR("ptas count not 4", procName, NULL);
if (ptaGetCount(ptad) != 4)
return (PIX *)ERROR_PTR("ptad count not 4", procName, NULL);
/* Get backwards transform from dest to src, and apply it */
getBilinearXformCoeffs(ptad, ptas, &vc);
pixd = pixBilinearColor(pixs, vc, colorval);
FREE(vc);
return pixd;
}
/*!
* pixProjectivePtaGray()
*
* Input: pixs (8 bpp)
* ptad (4 pts of final coordinate space)
* ptas (4 pts of initial coordinate space)
* grayval (0 to bring in BLACK, 255 for WHITE)
* Return: pixd, or null on error
*/
PIX *
pixProjectivePtaGray(PIX *pixs,
PTA *ptad,
PTA *ptas,
l_uint8 grayval)
{
l_float32 *vc;
PIX *pixd;
PROCNAME("pixProjectivePtaGray");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
if (!ptas)
return (PIX *)ERROR_PTR("ptas not defined", procName, NULL);
if (!ptad)
return (PIX *)ERROR_PTR("ptad not defined", procName, NULL);
if (pixGetDepth(pixs) != 8)
return (PIX *)ERROR_PTR("pixs must be 8 bpp", procName, NULL);
if (ptaGetCount(ptas) != 4)
return (PIX *)ERROR_PTR("ptas count not 4", procName, NULL);
if (ptaGetCount(ptad) != 4)
return (PIX *)ERROR_PTR("ptad count not 4", procName, NULL);
/* Get backwards transform from dest to src, and apply it */
getProjectiveXformCoeffs(ptad, ptas, &vc);
pixd = pixProjectiveGray(pixs, vc, grayval);
FREE(vc);
return pixd;
}
/*!
* pixProjectiveSampledPta()
*
* Input: pixs (all depths)
* ptad (4 pts of final coordinate space)
* ptas (4 pts of initial coordinate space)
* incolor (L_BRING_IN_WHITE, L_BRING_IN_BLACK)
* Return: pixd, or null on error
*
* Notes:
* (1) Brings in either black or white pixels from the boundary.
* (2) Retains colormap, which you can do for a sampled transform..
* (3) No 3 of the 4 points may be collinear.
* (4) For 8 and 32 bpp pix, better quality is obtained by the
* somewhat slower pixProjectivePta(). See that
* function for relative timings between sampled and interpolated.
*/
PIX *
pixProjectiveSampledPta(PIX *pixs,
PTA *ptad,
PTA *ptas,
l_int32 incolor)
{
l_float32 *vc;
PIX *pixd;
PROCNAME("pixProjectiveSampledPta");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
if (!ptas)
return (PIX *)ERROR_PTR("ptas not defined", procName, NULL);
if (!ptad)
return (PIX *)ERROR_PTR("ptad not defined", procName, NULL);
if (incolor != L_BRING_IN_WHITE && incolor != L_BRING_IN_BLACK)
return (PIX *)ERROR_PTR("invalid incolor", procName, NULL);
if (ptaGetCount(ptas) != 4)
return (PIX *)ERROR_PTR("ptas count not 4", procName, NULL);
if (ptaGetCount(ptad) != 4)
return (PIX *)ERROR_PTR("ptad count not 4", procName, NULL);
/* Get backwards transform from dest to src, and apply it */
getProjectiveXformCoeffs(ptad, ptas, &vc);
pixd = pixProjectiveSampled(pixs, vc, incolor);
FREE(vc);
return pixd;
}
/*!
* pixProjectivePta()
*
* Input: pixs (all depths; colormap ok)
* ptad (4 pts of final coordinate space)
* ptas (4 pts of initial coordinate space)
* incolor (L_BRING_IN_WHITE, L_BRING_IN_BLACK)
* Return: pixd, or null on error
*
* Notes:
* (1) Brings in either black or white pixels from the boundary
* (2) Removes any existing colormap, if necessary, before transforming
*/
PIX *
pixProjectivePta(PIX *pixs,
PTA *ptad,
PTA *ptas,
l_int32 incolor)
{
l_int32 d;
l_uint32 colorval;
PIX *pixt1, *pixt2, *pixd;
PROCNAME("pixProjectivePta");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
if (!ptas)
return (PIX *)ERROR_PTR("ptas not defined", procName, NULL);
if (!ptad)
return (PIX *)ERROR_PTR("ptad not defined", procName, NULL);
if (incolor != L_BRING_IN_WHITE && incolor != L_BRING_IN_BLACK)
return (PIX *)ERROR_PTR("invalid incolor", procName, NULL);
if (ptaGetCount(ptas) != 4)
return (PIX *)ERROR_PTR("ptas count not 4", procName, NULL);
if (ptaGetCount(ptad) != 4)
return (PIX *)ERROR_PTR("ptad count not 4", procName, NULL);
if (pixGetDepth(pixs) == 1)
return pixProjectiveSampledPta(pixs, ptad, ptas, incolor);
/* Remove cmap if it exists, and unpack to 8 bpp if necessary */
pixt1 = pixRemoveColormap(pixs, REMOVE_CMAP_BASED_ON_SRC);
d = pixGetDepth(pixt1);
if (d < 8)
pixt2 = pixConvertTo8(pixt1, FALSE);
else
pixt2 = pixClone(pixt1);
d = pixGetDepth(pixt2);
/* Compute actual color to bring in from edges */
colorval = 0;
if (incolor == L_BRING_IN_WHITE) {
if (d == 8)
colorval = 255;
else /* d == 32 */
colorval = 0xffffff00;
}
if (d == 8)
pixd = pixProjectivePtaGray(pixt2, ptad, ptas, colorval);
else /* d == 32 */
pixd = pixProjectivePtaColor(pixt2, ptad, ptas, colorval);
pixDestroy(&pixt1);
pixDestroy(&pixt2);
return pixd;
}
/*!
* ptaIntersectionByHash()
*
* Input: pta1, pta2
* Return: ptad (intersection of the point sets), or null on error
*
* Notes:
* (1) This is faster than ptaIntersectionByAset(), because the
* bucket lookup is O(n). It should be used if the pts are
* integers (e.g., representing pixel positions).
*/
PTA *
ptaIntersectionByHash(PTA *pta1,
PTA *pta2)
{
l_int32 n1, n2, nsmall, i, x, y, index1, index2;
l_uint32 nsize2;
l_uint64 key;
L_DNAHASH *dahash1, *dahash2;
PTA *pta_small, *pta_big, *ptad;
PROCNAME("ptaIntersectionByHash");
if (!pta1)
return (PTA *)ERROR_PTR("pta1 not defined", procName, NULL);
if (!pta2)
return (PTA *)ERROR_PTR("pta2 not defined", procName, NULL);
/* Put the elements of the biggest pta into a dnahash */
n1 = ptaGetCount(pta1);
n2 = ptaGetCount(pta2);
pta_small = (n1 < n2) ? pta1 : pta2; /* do not destroy pta_small */
pta_big = (n1 < n2) ? pta2 : pta1; /* do not destroy pta_big */
dahash1 = l_dnaHashCreateFromPta(pta_big);
/* Build up the intersection of points. Add to ptad
* if the point is in pta_big (using dahash1) but hasn't
* yet been seen in the traversal of pta_small (using dahash2). */
ptad = ptaCreate(0);
nsmall = ptaGetCount(pta_small);
findNextLargerPrime(nsmall / 20, &nsize2); /* buckets in hash table */
dahash2 = l_dnaHashCreate(nsize2, 0);
for (i = 0; i < nsmall; i++) {
ptaGetIPt(pta_small, i, &x, &y);
ptaFindPtByHash(pta_big, dahash1, x, y, &index1);
if (index1 >= 0) { /* found */
ptaFindPtByHash(pta_small, dahash2, x, y, &index2);
if (index2 == -1) { /* not found */
ptaAddPt(ptad, x, y);
l_hashPtToUint64Fast(nsize2, x, y, &key);
l_dnaHashAdd(dahash2, key, (l_float64)i);
}
}
}
l_dnaHashDestroy(&dahash1);
l_dnaHashDestroy(&dahash2);
return ptad;
}
/*!
* ptaAffineTransform()
*
* Input: ptas (for initial points)
* mat (3x3 transform matrix; canonical form)
* Return: ptad (transformed points), or null on error
*/
PTA *
ptaAffineTransform(PTA *ptas,
l_float32 *mat)
{
l_int32 i, npts;
l_float32 vecs[3], vecd[3];
PTA *ptad;
PROCNAME("ptaAffineTransform");
if (!ptas)
return (PTA *)ERROR_PTR("ptas not defined", procName, NULL);
if (!mat)
return (PTA *)ERROR_PTR("transform not defined", procName, NULL);
vecs[2] = 1;
npts = ptaGetCount(ptas);
if ((ptad = ptaCreate(npts)) == NULL)
return (PTA *)ERROR_PTR("ptad not made", procName, NULL);
for (i = 0; i < npts; i++) {
ptaGetPt(ptas, i, &vecs[0], &vecs[1]);
l_productMatVec(mat, vecs, vecd, 3);
ptaAddPt(ptad, vecd[0], vecd[1]);
}
return ptad;
}
/*!
* l_dnaHashCreateFromPta()
*
* Input: pta
* Return: dahash, or null on error
*/
L_DNAHASH *
l_dnaHashCreateFromPta(PTA *pta)
{
l_int32 i, n, x, y;
l_uint32 nsize;
l_uint64 key;
L_DNAHASH *dahash;
PROCNAME("l_dnaHashCreateFromPta");
/* Build up dnaHash of indices, hashed by a key that is
* a large linear combination of x and y values designed to
* randomize the key. Having about 20 pts in each bucket is
* roughly optimal for speed for large sets. */
n = ptaGetCount(pta);
findNextLargerPrime(n / 20, &nsize); /* buckets in hash table */
/* fprintf(stderr, "Prime used: %d\n", nsize); */
/* Add each point, using the hash as key and the index into
* @ptas as the value. Storing the index enables operations
* that check for duplicates. */
dahash = l_dnaHashCreate(nsize, 8);
for (i = 0; i < n; i++) {
ptaGetIPt(pta, i, &x, &y);
l_hashPtToUint64Fast(nsize, x, y, &key);
l_dnaHashAdd(dahash, key, (l_float64)i);
}
return dahash;
}
/*!
* ptaRemoveDupsByAset()
*
* Input: ptas (assumed to be integer values)
* Return: ptad (with duplicates removed), or null on error
*
* Notes:
* (1) This is slower than ptaRemoveDupsByHash(), mostly because
* of the nlogn sort to build up the rbtree. Do not use for
* large numbers of points (say, > 1M).
*/
PTA *
ptaRemoveDupsByAset(PTA *ptas)
{
l_int32 i, n, x, y;
PTA *ptad;
l_uint64 hash;
L_ASET *set;
RB_TYPE key;
PROCNAME("ptaRemoveDupsByAset");
if (!ptas)
return (PTA *)ERROR_PTR("ptas not defined", procName, NULL);
set = l_asetCreate(L_UINT_TYPE);
n = ptaGetCount(ptas);
ptad = ptaCreate(n);
for (i = 0; i < n; i++) {
ptaGetIPt(ptas, i, &x, &y);
l_hashPtToUint64(x, y, &hash);
key.utype = hash;
if (!l_asetFind(set, key)) {
ptaAddPt(ptad, x, y);
l_asetInsert(set, key);
}
}
l_asetDestroy(&set);
return ptad;
}
/*!
* ptaRotate()
*
* Input: ptas (for initial points)
* (xc, yc) (location of center of rotation)
* angle (rotation in radians; clockwise is positive)
* (&ptad) (<return> new locations)
* Return: 0 if OK; 1 on error
*
* Notes;
* (1) See createMatrix2dScale() for details of transform.
*/
PTA *
ptaRotate(PTA *ptas,
l_float32 xc,
l_float32 yc,
l_float32 angle)
{
l_int32 i, npts;
l_float32 x, y, xp, yp, sina, cosa;
PTA *ptad;
PROCNAME("ptaRotate");
if (!ptas)
return (PTA *)ERROR_PTR("ptas not defined", procName, NULL);
npts = ptaGetCount(ptas);
if ((ptad = ptaCreate(npts)) == NULL)
return (PTA *)ERROR_PTR("ptad not made", procName, NULL);
sina = sin(angle);
cosa = cos(angle);
for (i = 0; i < npts; i++) {
ptaGetPt(ptas, i, &x, &y);
xp = xc + (x - xc) * cosa - (y - yc) * sina;
yp = yc + (x - xc) * sina + (y - yc) * cosa;
ptaAddPt(ptad, xp, yp);
}
return ptad;
}
/*!
* ptaIntersectionByAset()
*
* Input: pta1, pta2
* Return: ptad (intersection of the point sets), or null on error
*
* Notes:
* (1) See sarrayIntersectionByAset() for the approach.
* (2) The key is a 64-bit hash from the (x,y) pair.
* (3) This is slower than ptaIntersectionByHash(), mostly because
* of the nlogn sort to build up the rbtree. Do not use for
* large numbers of points (say, > 1M).
*/
PTA *
ptaIntersectionByAset(PTA *pta1,
PTA *pta2)
{
l_int32 n1, n2, i, n, x, y;
l_uint64 hash;
L_ASET *set1, *set2;
RB_TYPE key;
PTA *pta_small, *pta_big, *ptad;
PROCNAME("ptaIntersectionByAset");
if (!pta1)
return (PTA *)ERROR_PTR("pta1 not defined", procName, NULL);
if (!pta2)
return (PTA *)ERROR_PTR("pta2 not defined", procName, NULL);
/* Put the elements of the biggest array into a set */
n1 = ptaGetCount(pta1);
n2 = ptaGetCount(pta2);
pta_small = (n1 < n2) ? pta1 : pta2; /* do not destroy pta_small */
pta_big = (n1 < n2) ? pta2 : pta1; /* do not destroy pta_big */
set1 = l_asetCreateFromPta(pta_big);
/* Build up the intersection of points */
ptad = ptaCreate(0);
n = ptaGetCount(pta_small);
set2 = l_asetCreate(L_UINT_TYPE);
for (i = 0; i < n; i++) {
ptaGetIPt(pta_small, i, &x, &y);
l_hashPtToUint64(x, y, &hash);
key.utype = hash;
if (l_asetFind(set1, key) && !l_asetFind(set2, key)) {
ptaAddPt(ptad, x, y);
l_asetInsert(set2, key);
}
}
l_asetDestroy(&set1);
l_asetDestroy(&set2);
return ptad;
}
/*!
* ptaRemoveDupsByHash()
*
* Input: ptas (assumed to be integer values)
* &ptad (<return> unique set of pts; duplicates removed)
* &dahash (<optional return> dnahash used for lookup)
* Return: 0 if OK, 1 on error
*
* Notes:
* (1) Generates a pta with unique values.
* (2) The dnahash is built up with ptad to assure uniqueness.
* It can be used to find if a point is in the set:
* ptaFindPtByHash(ptad, dahash, x, y, &index)
* (3) The hash of the (x,y) location is simple and fast. It scales
* up with the number of buckets to insure a fairly random
* bucket selection for adjacent points.
* (4) A Dna is used rather than a Numa because we need accurate
* representation of 32-bit integers that are indices into ptas.
* Integer --> float --> integer conversion makes errors for
* integers larger than 10M.
* (5) This is faster than ptaRemoveDupsByAset(), because the
* bucket lookup is O(n), although there is a double-loop
* lookup within the dna in each bucket.
*/
l_int32
ptaRemoveDupsByHash(PTA *ptas,
PTA **pptad,
L_DNAHASH **pdahash)
{
l_int32 i, n, index, items, x, y;
l_uint32 nsize;
l_uint64 key;
l_float64 val;
PTA *ptad;
L_DNAHASH *dahash;
PROCNAME("ptaRemoveDupsByHash");
if (pdahash) *pdahash = NULL;
if (!pptad)
return ERROR_INT("&ptad not defined", procName, 1);
*pptad = NULL;
if (!ptas)
return ERROR_INT("ptas not defined", procName, 1);
n = ptaGetCount(ptas);
findNextLargerPrime(n / 20, &nsize); /* buckets in hash table */
dahash = l_dnaHashCreate(nsize, 8);
ptad = ptaCreate(n);
*pptad = ptad;
for (i = 0, items = 0; i < n; i++) {
ptaGetIPt(ptas, i, &x, &y);
ptaFindPtByHash(ptad, dahash, x, y, &index);
if (index < 0) { /* not found */
l_hashPtToUint64Fast(nsize, x, y, &key);
l_dnaHashAdd(dahash, key, (l_float64)items);
ptaAddPt(ptad, x, y);
items++;
}
}
if (pdahash)
*pdahash = dahash;
else
l_dnaHashDestroy(&dahash);
return 0;
}
/*!
* ptaGetSortIndex()
*
* Input: ptas
* sorttype (L_SORT_BY_X, L_SORT_BY_Y)
* sortorder (L_SORT_INCREASING, L_SORT_DECREASING)
* &naindex (<return> index of sorted order into
* original array)
* Return: 0 if OK, 1 on error
*/
l_int32
ptaGetSortIndex(PTA *ptas,
l_int32 sorttype,
l_int32 sortorder,
NUMA **pnaindex)
{
l_int32 i, n;
l_float32 x, y;
NUMA *na;
PROCNAME("ptaGetSortIndex");
if (!pnaindex)
return ERROR_INT("&naindex not defined", procName, 1);
*pnaindex = NULL;
if (!ptas)
return ERROR_INT("ptas not defined", procName, 1);
if (sorttype != L_SORT_BY_X && sorttype != L_SORT_BY_Y)
return ERROR_INT("invalid sort type", procName, 1);
if (sortorder != L_SORT_INCREASING && sortorder != L_SORT_DECREASING)
return ERROR_INT("invalid sort order", procName, 1);
/* Build up numa of specific data */
n = ptaGetCount(ptas);
if ((na = numaCreate(n)) == NULL)
return ERROR_INT("na not made", procName, 1);
for (i = 0; i < n; i++) {
ptaGetPt(ptas, i, &x, &y);
if (sorttype == L_SORT_BY_X)
numaAddNumber(na, x);
else
numaAddNumber(na, y);
}
/* Get the sort index for data array */
*pnaindex = numaGetSortIndex(na, sortorder);
numaDestroy(&na);
if (!*pnaindex)
return ERROR_INT("naindex not made", procName, 1);
return 0;
}
/*!
* \brief ptaConvertToBoxa()
*
* \param[in] pta
* \param[in] ncorners 2 or 4 for the representation of each box
* \return boxa with one box for each 2 or 4 points in the pta,
* or NULL on error
*
* <pre>
* Notes:
* (1) For 2 corners, the order of the 2 points is UL, LR.
* For 4 corners, the order of points is UL, UR, LL, LR.
* (2) Each derived box is the minimum size containing all corners.
* </pre>
*/
BOXA *
ptaConvertToBoxa(PTA *pta,
l_int32 ncorners)
{
l_int32 i, n, nbox, x1, y1, x2, y2, x3, y3, x4, y4, x, y, xmax, ymax;
BOX *box;
BOXA *boxa;
PROCNAME("ptaConvertToBoxa");
if (!pta)
return (BOXA *)ERROR_PTR("pta not defined", procName, NULL);
if (ncorners != 2 && ncorners != 4)
return (BOXA *)ERROR_PTR("ncorners not 2 or 4", procName, NULL);
n = ptaGetCount(pta);
if (n % ncorners != 0)
return (BOXA *)ERROR_PTR("size % ncorners != 0", procName, NULL);
nbox = n / ncorners;
if ((boxa = boxaCreate(nbox)) == NULL)
return (BOXA *)ERROR_PTR("boxa not made", procName, NULL);
for (i = 0; i < n; i += ncorners) {
ptaGetIPt(pta, i, &x1, &y1);
ptaGetIPt(pta, i + 1, &x2, &y2);
if (ncorners == 2) {
box = boxCreate(x1, y1, x2 - x1 + 1, y2 - y1 + 1);
boxaAddBox(boxa, box, L_INSERT);
continue;
}
ptaGetIPt(pta, i + 2, &x3, &y3);
ptaGetIPt(pta, i + 3, &x4, &y4);
x = L_MIN(x1, x3);
y = L_MIN(y1, y2);
xmax = L_MAX(x2, x4);
ymax = L_MAX(y3, y4);
box = boxCreate(x, y, xmax - x + 1, ymax - y + 1);
boxaAddBox(boxa, box, L_INSERT);
}
return boxa;
}
/*!
* \brief ptaConvertToBox()
*
* \param[in] pta
* \return box minimum containing all points in the pta, or NULL on error
*
* <pre>
* Notes:
* (1) For 2 corners, the order of the 2 points is UL, LR.
* For 4 corners, the order of points is UL, UR, LL, LR.
* </pre>
*/
BOX *
ptaConvertToBox(PTA *pta)
{
l_int32 n, x1, y1, x2, y2, x3, y3, x4, y4, x, y, xmax, ymax;
PROCNAME("ptaConvertToBox");
if (!pta)
return (BOX *)ERROR_PTR("pta not defined", procName, NULL);
n = ptaGetCount(pta);
ptaGetIPt(pta, 0, &x1, &y1);
ptaGetIPt(pta, 1, &x2, &y2);
if (n == 2)
return boxCreate(x1, y1, x2 - x1 + 1, y2 - y1 + 1);
/* 4 corners */
ptaGetIPt(pta, 2, &x3, &y3);
ptaGetIPt(pta, 3, &x4, &y4);
x = L_MIN(x1, x3);
y = L_MIN(y1, y2);
xmax = L_MAX(x2, x4);
ymax = L_MAX(y3, y4);
return boxCreate(x, y, xmax - x + 1, ymax - y + 1);
}
/*!
* l_asetCreateFromPta()
*
* Input: pta
* Return: set (using a 64-bit hash of (x,y) as the key)
*/
L_ASET *
l_asetCreateFromPta(PTA *pta)
{
l_int32 i, n, x, y;
l_uint64 hash;
L_ASET *set;
RB_TYPE key;
PROCNAME("l_asetCreateFromPta");
if (!pta)
return (L_ASET *)ERROR_PTR("pta not defined", procName, NULL);
set = l_asetCreate(L_UINT_TYPE);
n = ptaGetCount(pta);
for (i = 0; i < n; i++) {
ptaGetIPt(pta, i, &x, &y);
l_hashPtToUint64(x, y, &hash);
key.utype = hash;
l_asetInsert(set, key);
}
return set;
}
/*!
* ptaScale()
*
* Input: ptas (for initial points)
* scalex (horizontal scale factor)
* scaley (vertical scale factor)
* Return: 0 if OK; 1 on error
*
* Notes;
* (1) See createMatrix2dScale() for details of transform.
*/
PTA *
ptaScale(PTA *ptas,
l_float32 scalex,
l_float32 scaley)
{
l_int32 i, npts;
l_float32 x, y;
PTA *ptad;
PROCNAME("ptaScale");
if (!ptas)
return (PTA *)ERROR_PTR("ptas not defined", procName, NULL);
npts = ptaGetCount(ptas);
if ((ptad = ptaCreate(npts)) == NULL)
return (PTA *)ERROR_PTR("ptad not made", procName, NULL);
for (i = 0; i < npts; i++) {
ptaGetPt(ptas, i, &x, &y);
ptaAddPt(ptad, scalex * x, scaley * y);
}
return ptad;
}
int main(int argc,
char **argv)
{
char *filein, *fileout;
l_int32 x, y, n, i;
PIX *pixs;
PTA *pta;
PTAA *ptaa, *ptaa2, *ptaa3;
static char mainName[] = "cornertest";
if (argc != 3)
return ERROR_INT(" Syntax: cornertest filein fileout", mainName, 1);
filein = argv[1];
fileout = argv[2];
if ((pixs = pixRead(filein)) == NULL)
return ERROR_INT("pixs not made", mainName, 1);
/* Clean noise in LR corner of witten.tif */
pixSetPixel(pixs, 2252, 3051, 0);
pixSetPixel(pixs, 2252, 3050, 0);
pixSetPixel(pixs, 2251, 3050, 0);
pta = pixFindCornerPixels(pixs);
ptaWriteStream(stderr, pta, 1);
/* Test pta and ptaa I/O */
#if 1
ptaa = ptaaCreate(3);
ptaaAddPta(ptaa, pta, L_COPY);
ptaaAddPta(ptaa, pta, L_COPY);
ptaaAddPta(ptaa, pta, L_COPY);
ptaaWriteStream(stderr, ptaa, 1);
ptaaWrite("/tmp/junkptaa", ptaa, 1);
ptaa2 = ptaaRead("/tmp/junkptaa");
ptaaWrite("/tmp/junkptaa2", ptaa2, 1);
ptaaWrite("/tmp/junkptaa3", ptaa, 0);
ptaa3 = ptaaRead("/tmp/junkptaa3");
ptaaWrite("/tmp/junkptaa4", ptaa3, 0);
ptaaDestroy(&ptaa);
ptaaDestroy(&ptaa2);
ptaaDestroy(&ptaa3);
#endif
/* mark corner pixels */
n = ptaGetCount(pta);
for (i = 0; i < n; i++) {
ptaGetIPt(pta, i, &x, &y);
pixRenderLine(pixs, x - LINE_SIZE, y, x + LINE_SIZE, y, 5,
L_FLIP_PIXELS);
pixRenderLine(pixs, x, y - LINE_SIZE, x, y + LINE_SIZE, 5,
L_FLIP_PIXELS);
}
pixWrite(fileout, pixs, IFF_PNG);
pixDestroy(&pixs);
ptaDestroy(&pta);
ptaDestroy(&pta);
return 0;
}
/*!
* \brief pixFindBaselines()
*
* \param[in] pixs 1 bpp, 300 ppi
* \param[out] ppta [optional] pairs of pts corresponding to
* approx. ends of each text line
* \param[in] pixadb for debug output; use NULL to skip
* \return na of baseline y values, or NULL on error
*
* <pre>
* Notes:
* (1) Input binary image must have text lines already aligned
* horizontally. This can be done by either rotating the
* image with pixDeskew(), or, if a projective transform
* is required, by doing pixDeskewLocal() first.
* (2) Input null for &pta if you don't want this returned.
* The pta will come in pairs of points (left and right end
* of each baseline).
* (3) Caution: this will not work properly on text with multiple
* columns, where the lines are not aligned between columns.
* If there are multiple columns, they should be extracted
* separately before finding the baselines.
* (4) This function constructs different types of output
* for baselines; namely, a set of raster line values and
* a set of end points of each baseline.
* (5) This function was designed to handle short and long text lines
* without using dangerous thresholds on the peak heights. It does
* this by combining the differential signal with a morphological
* analysis of the locations of the text lines. One can also
* combine this data to normalize the peak heights, by weighting
* the differential signal in the region of each baseline
* by the inverse of the width of the text line found there.
* </pre>
*/
NUMA *
pixFindBaselines(PIX *pixs,
PTA **ppta,
PIXA *pixadb)
{
l_int32 h, i, j, nbox, val1, val2, ndiff, bx, by, bw, bh;
l_int32 imaxloc, peakthresh, zerothresh, inpeak;
l_int32 mintosearch, max, maxloc, nloc, locval;
l_int32 *array;
l_float32 maxval;
BOXA *boxa1, *boxa2, *boxa3;
GPLOT *gplot;
NUMA *nasum, *nadiff, *naloc, *naval;
PIX *pix1, *pix2;
PTA *pta;
PROCNAME("pixFindBaselines");
if (ppta) *ppta = NULL;
if (!pixs || pixGetDepth(pixs) != 1)
return (NUMA *)ERROR_PTR("pixs undefined or not 1 bpp", procName, NULL);
/* Close up the text characters, removing noise */
pix1 = pixMorphSequence(pixs, "c25.1 + e15.1", 0);
/* Estimate the resolution */
if (pixadb) pixaAddPix(pixadb, pixScale(pix1, 0.25, 0.25), L_INSERT);
/* Save the difference of adjacent row sums.
* The high positive-going peaks are the baselines */
if ((nasum = pixCountPixelsByRow(pix1, NULL)) == NULL) {
pixDestroy(&pix1);
return (NUMA *)ERROR_PTR("nasum not made", procName, NULL);
}
h = pixGetHeight(pixs);
nadiff = numaCreate(h);
numaGetIValue(nasum, 0, &val2);
for (i = 0; i < h - 1; i++) {
val1 = val2;
numaGetIValue(nasum, i + 1, &val2);
numaAddNumber(nadiff, val1 - val2);
}
numaDestroy(&nasum);
if (pixadb) { /* show the difference signal */
lept_mkdir("lept/baseline");
gplotSimple1(nadiff, GPLOT_PNG, "/tmp/lept/baseline/diff", "Diff Sig");
pix2 = pixRead("/tmp/lept/baseline/diff.png");
pixaAddPix(pixadb, pix2, L_INSERT);
}
/* Use the zeroes of the profile to locate each baseline. */
array = numaGetIArray(nadiff);
ndiff = numaGetCount(nadiff);
numaGetMax(nadiff, &maxval, &imaxloc);
numaDestroy(&nadiff);
/* Use this to begin locating a new peak: */
peakthresh = (l_int32)maxval / PEAK_THRESHOLD_RATIO;
/* Use this to begin a region between peaks: */
zerothresh = (l_int32)maxval / ZERO_THRESHOLD_RATIO;
naloc = numaCreate(0);
naval = numaCreate(0);
inpeak = FALSE;
for (i = 0; i < ndiff; i++) {
if (inpeak == FALSE) {
if (array[i] > peakthresh) { /* transition to in-peak */
inpeak = TRUE;
mintosearch = i + MIN_DIST_IN_PEAK; /* accept no zeros
* between i and mintosearch */
max = array[i];
maxloc = i;
}
} else { /* inpeak == TRUE; look for max */
if (array[i] > max) {
max = array[i];
maxloc = i;
mintosearch = i + MIN_DIST_IN_PEAK;
} else if (i > mintosearch && array[i] <= zerothresh) { /* leave */
inpeak = FALSE;
numaAddNumber(naval, max);
numaAddNumber(naloc, maxloc);
}
}
}
LEPT_FREE(array);
/* If array[ndiff-1] is max, eg. no descenders, baseline at bottom */
if (inpeak) {
numaAddNumber(naval, max);
numaAddNumber(naloc, maxloc);
}
if (pixadb) { /* show the raster locations for the peaks */
gplot = gplotCreate("/tmp/lept/baseline/loc", GPLOT_PNG, "Peak locs",
"rasterline", "height");
gplotAddPlot(gplot, naloc, naval, GPLOT_POINTS, "locs");
gplotMakeOutput(gplot);
gplotDestroy(&gplot);
pix2 = pixRead("/tmp/lept/baseline/loc.png");
pixaAddPix(pixadb, pix2, L_INSERT);
}
numaDestroy(&naval);
/* Generate an approximate profile of text line width.
* First, filter the boxes of text, where there may be
* more than one box for a given textline. */
pix2 = pixMorphSequence(pix1, "r11 + c20.1 + o30.1 +c1.3", 0);
if (pixadb) pixaAddPix(pixadb, pix2, L_COPY);
boxa1 = pixConnComp(pix2, NULL, 4);
pixDestroy(&pix1);
pixDestroy(&pix2);
if (boxaGetCount(boxa1) == 0) {
numaDestroy(&naloc);
boxaDestroy(&boxa1);
L_INFO("no compnents after filtering\n", procName);
return NULL;
}
boxa2 = boxaTransform(boxa1, 0, 0, 4., 4.);
boxa3 = boxaSort(boxa2, L_SORT_BY_Y, L_SORT_INCREASING, NULL);
boxaDestroy(&boxa1);
boxaDestroy(&boxa2);
/* Optionally, find the baseline segments */
pta = NULL;
if (ppta) {
pta = ptaCreate(0);
*ppta = pta;
}
if (pta) {
nloc = numaGetCount(naloc);
nbox = boxaGetCount(boxa3);
for (i = 0; i < nbox; i++) {
boxaGetBoxGeometry(boxa3, i, &bx, &by, &bw, &bh);
for (j = 0; j < nloc; j++) {
numaGetIValue(naloc, j, &locval);
if (L_ABS(locval - (by + bh)) > 25)
continue;
ptaAddPt(pta, bx, locval);
ptaAddPt(pta, bx + bw, locval);
break;
}
}
}
boxaDestroy(&boxa3);
if (pixadb && pta) { /* display baselines */
l_int32 npts, x1, y1, x2, y2;
pix1 = pixConvertTo32(pixs);
npts = ptaGetCount(pta);
for (i = 0; i < npts; i += 2) {
ptaGetIPt(pta, i, &x1, &y1);
ptaGetIPt(pta, i + 1, &x2, &y2);
pixRenderLineArb(pix1, x1, y1, x2, y2, 2, 255, 0, 0);
}
pixWrite("/tmp/lept/baseline/baselines.png", pix1, IFF_PNG);
pixaAddPix(pixadb, pixScale(pix1, 0.25, 0.25), L_INSERT);
pixDestroy(&pix1);
}
return naloc;
}
/*!
* \brief pixGetLocalSkewAngles()
*
* \param[in] pixs 1 bpp
* \param[in] nslices the number of horizontal overlapping slices; must
* be larger than 1 and not exceed 20; 0 for default
* \param[in] redsweep sweep reduction factor: 1, 2, 4 or 8;
* use 0 for default value
* \param[in] redsearch search reduction factor: 1, 2, 4 or 8, and not
* larger than redsweep; use 0 for default value
* \param[in] sweeprange half the full range, assumed about 0; in degrees;
* use 0.0 for default value
* \param[in] sweepdelta angle increment of sweep; in degrees;
* use 0.0 for default value
* \param[in] minbsdelta min binary search increment angle; in degrees;
* use 0.0 for default value
* \param[out] pa [optional] slope of skew as fctn of y
* \param[out] pb [optional] intercept at y=0 of skew as fctn of y
* \param[in] debug 1 for generating plot of skew angle vs. y; 0 otherwise
* \return naskew, or NULL on error
*
* <pre>
* Notes:
* (1) The local skew is measured in a set of overlapping strips.
* We then do a least square linear fit parameters to get
* the slope and intercept parameters a and b in
* skew-angle = a * y + b (degrees)
* for the local skew as a function of raster line y.
* This is then used to make naskew, which can be interpreted
* as the computed skew angle (in degrees) at the left edge
* of each raster line.
* (2) naskew can then be used to find the baselines of text, because
* each text line has a baseline that should intersect
* the left edge of the image with the angle given by this
* array, evaluated at the raster line of intersection.
* </pre>
*/
NUMA *
pixGetLocalSkewAngles(PIX *pixs,
l_int32 nslices,
l_int32 redsweep,
l_int32 redsearch,
l_float32 sweeprange,
l_float32 sweepdelta,
l_float32 minbsdelta,
l_float32 *pa,
l_float32 *pb,
l_int32 debug)
{
l_int32 w, h, hs, i, ystart, yend, ovlap, npts;
l_float32 angle, conf, ycenter, a, b;
BOX *box;
GPLOT *gplot;
NUMA *naskew, *nax, *nay;
PIX *pix;
PTA *pta;
PROCNAME("pixGetLocalSkewAngles");
if (!pixs || pixGetDepth(pixs) != 1)
return (NUMA *)ERROR_PTR("pixs undefined or not 1 bpp", procName, NULL);
if (nslices < 2 || nslices > 20)
nslices = DEFAULT_SLICES;
if (redsweep < 1 || redsweep > 8)
redsweep = DEFAULT_SWEEP_REDUCTION;
if (redsearch < 1 || redsearch > redsweep)
redsearch = DEFAULT_BS_REDUCTION;
if (sweeprange == 0.0)
sweeprange = DEFAULT_SWEEP_RANGE;
if (sweepdelta == 0.0)
sweepdelta = DEFAULT_SWEEP_DELTA;
if (minbsdelta == 0.0)
minbsdelta = DEFAULT_MINBS_DELTA;
pixGetDimensions(pixs, &w, &h, NULL);
hs = h / nslices;
ovlap = (l_int32)(OVERLAP_FRACTION * hs);
pta = ptaCreate(nslices);
for (i = 0; i < nslices; i++) {
ystart = L_MAX(0, hs * i - ovlap);
yend = L_MIN(h - 1, hs * (i + 1) + ovlap);
ycenter = (ystart + yend) / 2;
box = boxCreate(0, ystart, w, yend - ystart + 1);
pix = pixClipRectangle(pixs, box, NULL);
pixFindSkewSweepAndSearch(pix, &angle, &conf, redsweep, redsearch,
sweeprange, sweepdelta, minbsdelta);
if (conf > MIN_ALLOWED_CONFIDENCE)
ptaAddPt(pta, ycenter, angle);
pixDestroy(&pix);
boxDestroy(&box);
}
/* Do linear least squares fit */
if ((npts = ptaGetCount(pta)) < 2) {
ptaDestroy(&pta);
return (NUMA *)ERROR_PTR("can't fit skew", procName, NULL);
}
ptaGetLinearLSF(pta, &a, &b, NULL);
if (pa) *pa = a;
if (pb) *pb = b;
/* Make skew angle array as function of raster line */
naskew = numaCreate(h);
for (i = 0; i < h; i++) {
angle = a * i + b;
numaAddNumber(naskew, angle);
}
if (debug) {
lept_mkdir("lept/baseline");
ptaGetArrays(pta, &nax, &nay);
gplot = gplotCreate("/tmp/lept/baseline/skew", GPLOT_PNG,
"skew as fctn of y", "y (in raster lines from top)",
"angle (in degrees)");
gplotAddPlot(gplot, NULL, naskew, GPLOT_POINTS, "linear lsf");
gplotAddPlot(gplot, nax, nay, GPLOT_POINTS, "actual data pts");
gplotMakeOutput(gplot);
gplotDestroy(&gplot);
numaDestroy(&nax);
numaDestroy(&nay);
}
ptaDestroy(&pta);
return naskew;
}
/*!
* pixGetRunsOnLine()
*
* Input: pixs (1 bpp)
* x1, y1, x2, y2
* Return: numa, or null on error
*
* Notes:
* (1) Action: this function uses the bresenham algorithm to compute
* the pixels along the specified line. It returns a Numa of the
* runlengths of the fg (black) and bg (white) runs, always
* starting with a white run.
* (2) If the first pixel on the line is black, the length of the
* first returned run (which is white) is 0.
*/
NUMA *
pixGetRunsOnLine(PIX *pixs,
l_int32 x1,
l_int32 y1,
l_int32 x2,
l_int32 y2)
{
l_int32 w, h, x, y, npts;
l_int32 i, runlen, preval;
l_uint32 val;
NUMA *numa;
PTA *pta;
PROCNAME("pixGetRunsOnLine");
if (!pixs)
return (NUMA *)ERROR_PTR("pixs not defined", procName, NULL);
if (pixGetDepth(pixs) != 1)
return (NUMA *)ERROR_PTR("pixs not 1 bpp", procName, NULL);
w = pixGetWidth(pixs);
h = pixGetHeight(pixs);
if (x1 < 0 || x1 >= w)
return (NUMA *)ERROR_PTR("x1 not valid", procName, NULL);
if (x2 < 0 || x2 >= w)
return (NUMA *)ERROR_PTR("x2 not valid", procName, NULL);
if (y1 < 0 || y1 >= h)
return (NUMA *)ERROR_PTR("y1 not valid", procName, NULL);
if (y2 < 0 || y2 >= h)
return (NUMA *)ERROR_PTR("y2 not valid", procName, NULL);
if ((pta = generatePtaLine(x1, y1, x2, y2)) == NULL)
return (NUMA *)ERROR_PTR("pta not made", procName, NULL);
if ((npts = ptaGetCount(pta)) == 0)
return (NUMA *)ERROR_PTR("pta has no pts", procName, NULL);
if ((numa = numaCreate(0)) == NULL)
return (NUMA *)ERROR_PTR("numa not made", procName, NULL);
for (i = 0; i < npts; i++) {
ptaGetIPt(pta, i, &x, &y);
pixGetPixel(pixs, x, y, &val);
if (i == 0) {
if (val == 1) { /* black pixel; append white run of size 0 */
numaAddNumber(numa, 0);
}
preval = val;
runlen = 1;
continue;
}
if (val == preval) { /* extend current run */
preval = val;
runlen++;
}
else { /* end previous run */
numaAddNumber(numa, runlen);
preval = val;
runlen = 1;
}
}
numaAddNumber(numa, runlen); /* append last run */
ptaDestroy(&pta);
return numa;
}
/*!
* pixGenerateSelBoundary()
*
* Input: pix (1 bpp, typically small, to be used as a pattern)
* hitdist (min distance from fg boundary pixel)
* missdist (min distance from bg boundary pixel)
* hitskip (number of boundary pixels skipped between hits)
* missskip (number of boundary pixels skipped between misses)
* topflag (flag for extra pixels of bg added above)
* botflag (flag for extra pixels of bg added below)
* leftflag (flag for extra pixels of bg added to left)
* rightflag (flag for extra pixels of bg added to right)
* &pixe (<optional return> input pix expanded by extra pixels)
* Return: sel (hit-miss for input pattern), or null on error
*
* Notes:
* (1) All fg elements selected are exactly hitdist pixels away from
* the nearest fg boundary pixel, and ditto for bg elements.
* Valid inputs of hitdist and missdist are 0, 1, 2, 3 and 4.
* For example, a hitdist of 0 puts the hits at the fg boundary.
* Usually, the distances should be > 0 avoid the effect of
* noise at the boundary.
* (2) Set hitskip < 0 if no hits are to be used. Ditto for missskip.
* If both hitskip and missskip are < 0, the sel would be empty,
* and NULL is returned.
* (3) The 4 flags determine whether the sel is increased on that side
* to allow bg misses to be placed all along that boundary.
* The increase in sel size on that side is the minimum necessary
* to allow the misses to be placed at mindist. For text characters,
* the topflag and botflag are typically set to 1, and the leftflag
* and rightflag to 0.
* (4) The input pix, as extended by the extra pixels on selected sides,
* can optionally be returned. For debugging, call
* pixDisplayHitMissSel() to visualize the hit-miss sel superimposed
* on the generating bitmap.
* (5) This is probably the best of the three sel generators, in the
* sense that you have the most flexibility with the smallest number
* of hits and misses.
*/
SEL *
pixGenerateSelBoundary(PIX *pixs,
l_int32 hitdist,
l_int32 missdist,
l_int32 hitskip,
l_int32 missskip,
l_int32 topflag,
l_int32 botflag,
l_int32 leftflag,
l_int32 rightflag,
PIX **ppixe)
{
l_int32 ws, hs, w, h, x, y, ix, iy, i, npt;
PIX *pixt1, *pixt2, *pixt3, *pixfg, *pixbg;
SEL *selh, *selm, *sel_3, *sel;
PTA *ptah, *ptam;
PROCNAME("pixGenerateSelBoundary");
if (ppixe) *ppixe = NULL;
if (!pixs)
return (SEL *)ERROR_PTR("pixs not defined", procName, NULL);
if (pixGetDepth(pixs) != 1)
return (SEL *)ERROR_PTR("pixs not 1 bpp", procName, NULL);
if (hitdist < 0 || hitdist > 4 || missdist < 0 || missdist > 4)
return (SEL *)ERROR_PTR("dist not in {0 .. 4}", procName, NULL);
if (hitskip < 0 && missskip < 0)
return (SEL *)ERROR_PTR("no hits or misses", procName, NULL);
/* Locate the foreground */
pixClipToForeground(pixs, &pixt1, NULL);
if (!pixt1)
return (SEL *)ERROR_PTR("pixt1 not made", procName, NULL);
ws = pixGetWidth(pixt1);
hs = pixGetHeight(pixt1);
w = ws;
h = hs;
/* Crop out a region including the foreground, and add pixels
* on sides depending on the side flags */
if (topflag || botflag || leftflag || rightflag) {
x = y = 0;
if (topflag) {
h += missdist + 1;
y = missdist + 1;
}
if (botflag)
h += missdist + 1;
if (leftflag) {
w += missdist + 1;
x = missdist + 1;
}
if (rightflag)
w += missdist + 1;
pixt2 = pixCreate(w, h, 1);
pixRasterop(pixt2, x, y, ws, hs, PIX_SRC, pixt1, 0, 0);
}
else {
pixt2 = pixClone(pixt1);
}
if (ppixe)
*ppixe = pixClone(pixt2);
pixDestroy(&pixt1);
/* Identify fg and bg pixels that are exactly hitdist and
* missdist (rsp) away from the boundary pixels in their set.
* Then get a subsampled set of these points. */
sel_3 = selCreateBrick(3, 3, 1, 1, SEL_HIT);
if (hitskip >= 0) {
selh = selCreateBrick(2 * hitdist + 1, 2 * hitdist + 1,
hitdist, hitdist, SEL_HIT);
pixt3 = pixErode(NULL, pixt2, selh);
pixfg = pixErode(NULL, pixt3, sel_3);
pixXor(pixfg, pixfg, pixt3);
ptah = pixSubsampleBoundaryPixels(pixfg, hitskip);
pixDestroy(&pixt3);
pixDestroy(&pixfg);
selDestroy(&selh);
}
if (missskip >= 0) {
selm = selCreateBrick(2 * missdist + 1, 2 * missdist + 1,
missdist, missdist, SEL_HIT);
pixt3 = pixDilate(NULL, pixt2, selm);
pixbg = pixDilate(NULL, pixt3, sel_3);
pixXor(pixbg, pixbg, pixt3);
ptam = pixSubsampleBoundaryPixels(pixbg, missskip);
pixDestroy(&pixt3);
pixDestroy(&pixbg);
selDestroy(&selm);
}
selDestroy(&sel_3);
pixDestroy(&pixt2);
/* Generate the hit-miss sel from these point */
sel = selCreateBrick(h, w, h / 2, w / 2, SEL_DONT_CARE);
if (hitskip >= 0) {
npt = ptaGetCount(ptah);
for (i = 0; i < npt; i++) {
ptaGetIPt(ptah, i, &ix, &iy);
selSetElement(sel, iy, ix, SEL_HIT);
}
}
if (missskip >= 0) {
npt = ptaGetCount(ptam);
for (i = 0; i < npt; i++) {
ptaGetIPt(ptam, i, &ix, &iy);
selSetElement(sel, iy, ix, SEL_MISS);
}
}
ptaDestroy(&ptah);
ptaDestroy(&ptam);
return sel;
}
/*!
* pixGenerateSelWithRuns()
*
* Input: pix (1 bpp, typically small, to be used as a pattern)
* nhlines (number of hor lines along which elements are found)
* nvlines (number of vert lines along which elements are found)
* distance (min distance from boundary pixel; use 0 for default)
* minlength (min runlength to set hit or miss; use 0 for default)
* toppix (number of extra pixels of bg added above)
* botpix (number of extra pixels of bg added below)
* leftpix (number of extra pixels of bg added to left)
* rightpix (number of extra pixels of bg added to right)
* &pixe (<optional return> input pix expanded by extra pixels)
* Return: sel (hit-miss for input pattern), or null on error
*
* Notes:
* (1) The horizontal and vertical lines along which elements are
* selected are roughly equally spaced. The actual locations of
* the hits and misses are the centers of respective run-lengths.
* (2) No elements are selected that are less than 'distance' pixels away
* from a boundary pixel of the same color. This makes the
* match much more robust to edge noise. Valid inputs of
* 'distance' are 0, 1, 2, 3 and 4. If distance is either 0 or
* greater than 4, we reset it to the default value.
* (3) The 4 numbers for adding rectangles of pixels outside the fg
* can be use if the pattern is expected to be surrounded by bg
* (white) pixels. On the other hand, if the pattern may be near
* other fg (black) components on some sides, use 0 for those sides.
* (4) The pixels added to a side allow you to have miss elements there.
* There is a constraint between distance, minlength, and
* the added pixels for this to work. We illustrate using the
* default values. If you add 5 pixels to the top, and use a
* distance of 1, then you end up with a vertical run of at least
* 4 bg pixels along the top edge of the image. If you use a
* minimum runlength of 3, each vertical line will always find
* a miss near the center of its run. However, if you use a
* minimum runlength of 5, you will not get a miss on every vertical
* line. As another example, if you have 7 added pixels and a
* distance of 2, you can use a runlength up to 5 to guarantee
* that the miss element is recorded. We give a warning if the
* contraint does not guarantee a miss element outside the
* image proper.
* (5) The input pix, as extended by the extra pixels on selected sides,
* can optionally be returned. For debugging, call
* pixDisplayHitMissSel() to visualize the hit-miss sel superimposed
* on the generating bitmap.
*/
SEL *
pixGenerateSelWithRuns(PIX *pixs,
l_int32 nhlines,
l_int32 nvlines,
l_int32 distance,
l_int32 minlength,
l_int32 toppix,
l_int32 botpix,
l_int32 leftpix,
l_int32 rightpix,
PIX **ppixe)
{
l_int32 ws, hs, w, h, x, y, xval, yval, i, j, nh, nm;
l_float32 delh, delw;
NUMA *nah, *nam;
PIX *pixt1, *pixt2, *pixfg, *pixbg;
PTA *ptah, *ptam;
SEL *seld, *sel;
PROCNAME("pixGenerateSelWithRuns");
if (ppixe) *ppixe = NULL;
if (!pixs)
return (SEL *)ERROR_PTR("pixs not defined", procName, NULL);
if (pixGetDepth(pixs) != 1)
return (SEL *)ERROR_PTR("pixs not 1 bpp", procName, NULL);
if (nhlines < 1 && nvlines < 1)
return (SEL *)ERROR_PTR("nvlines and nhlines both < 1", procName, NULL);
if (distance <= 0)
distance = DEFAULT_DISTANCE_TO_BOUNDARY;
if (minlength <= 0)
minlength = DEFAULT_MIN_RUNLENGTH;
if (distance > MAX_DISTANCE_TO_BOUNDARY) {
L_WARNING("distance too large; setting to max value", procName);
distance = MAX_DISTANCE_TO_BOUNDARY;
}
/* Locate the foreground */
pixClipToForeground(pixs, &pixt1, NULL);
if (!pixt1)
return (SEL *)ERROR_PTR("pixt1 not made", procName, NULL);
ws = pixGetWidth(pixt1);
hs = pixGetHeight(pixt1);
w = ws;
h = hs;
/* Crop out a region including the foreground, and add pixels
* on sides depending on the side flags */
if (toppix || botpix || leftpix || rightpix) {
x = y = 0;
if (toppix) {
h += toppix;
y = toppix;
if (toppix < distance + minlength)
L_WARNING("no miss elements in added top pixels", procName);
}
if (botpix) {
h += botpix;
if (botpix < distance + minlength)
L_WARNING("no miss elements in added bot pixels", procName);
}
if (leftpix) {
w += leftpix;
x = leftpix;
if (leftpix < distance + minlength)
L_WARNING("no miss elements in added left pixels", procName);
}
if (rightpix) {
w += rightpix;
if (rightpix < distance + minlength)
L_WARNING("no miss elements in added right pixels", procName);
}
pixt2 = pixCreate(w, h, 1);
pixRasterop(pixt2, x, y, ws, hs, PIX_SRC, pixt1, 0, 0);
}
else
pixt2 = pixClone(pixt1);
if (ppixe)
*ppixe = pixClone(pixt2);
pixDestroy(&pixt1);
/* Identify fg and bg pixels that are at least 'distance' pixels
* away from the boundary pixels in their set */
seld = selCreateBrick(2 * distance + 1, 2 * distance + 1,
distance, distance, SEL_HIT);
pixfg = pixErode(NULL, pixt2, seld);
pixbg = pixDilate(NULL, pixt2, seld);
pixInvert(pixbg, pixbg);
selDestroy(&seld);
pixDestroy(&pixt2);
/* Accumulate hit and miss points */
ptah = ptaCreate(0);
ptam = ptaCreate(0);
if (nhlines >= 1) {
delh = (l_float32)h / (l_float32)(nhlines + 1);
for (i = 0, y = 0; i < nhlines; i++) {
y += (l_int32)(delh + 0.5);
nah = pixGetRunCentersOnLine(pixfg, -1, y, minlength);
nam = pixGetRunCentersOnLine(pixbg, -1, y, minlength);
nh = numaGetCount(nah);
nm = numaGetCount(nam);
for (j = 0; j < nh; j++) {
numaGetIValue(nah, j, &xval);
ptaAddPt(ptah, xval, y);
}
for (j = 0; j < nm; j++) {
numaGetIValue(nam, j, &xval);
ptaAddPt(ptam, xval, y);
}
numaDestroy(&nah);
numaDestroy(&nam);
}
}
if (nvlines >= 1) {
delw = (l_float32)w / (l_float32)(nvlines + 1);
for (i = 0, x = 0; i < nvlines; i++) {
x += (l_int32)(delw + 0.5);
nah = pixGetRunCentersOnLine(pixfg, x, -1, minlength);
nam = pixGetRunCentersOnLine(pixbg, x, -1, minlength);
nh = numaGetCount(nah);
nm = numaGetCount(nam);
for (j = 0; j < nh; j++) {
numaGetIValue(nah, j, &yval);
ptaAddPt(ptah, x, yval);
}
for (j = 0; j < nm; j++) {
numaGetIValue(nam, j, &yval);
ptaAddPt(ptam, x, yval);
}
numaDestroy(&nah);
numaDestroy(&nam);
}
}
/* Make the Sel with those points */
sel = selCreateBrick(h, w, h / 2, w / 2, SEL_DONT_CARE);
nh = ptaGetCount(ptah);
for (i = 0; i < nh; i++) {
ptaGetIPt(ptah, i, &x, &y);
selSetElement(sel, y, x, SEL_HIT);
}
nm = ptaGetCount(ptam);
for (i = 0; i < nm; i++) {
ptaGetIPt(ptam, i, &x, &y);
selSetElement(sel, y, x, SEL_MISS);
}
pixDestroy(&pixfg);
pixDestroy(&pixbg);
ptaDestroy(&ptah);
ptaDestroy(&ptam);
return sel;
}
/*!
* \brief pixGetSortedNeighborValues()
*
* \param[in] pixs 8, 16 or 32 bpp, with pixels labeled by c.c.
* \param[in] x, y location of pixel
* \param[in] conn 4 or 8 connected neighbors
* \param[out] pneigh array of integers, to be filled with
* the values of the neighbors, if any
* \param[out] pnvals the number of unique neighbor values found
* \return 0 if OK, 1 on error
*
* <pre>
* Notes:
* (1) The returned %neigh array is the unique set of neighboring
* pixel values, of size nvals, sorted from smallest to largest.
* The value 0, which represents background pixels that do
* not belong to any set of connected components, is discarded.
* (2) If there are no neighbors, this returns %neigh = NULL; otherwise,
* the caller must free the array.
* (3) For either 4 or 8 connectivity, the maximum number of unique
* neighbor values is 4.
* </pre>
*/
l_int32
pixGetSortedNeighborValues(PIX *pixs,
l_int32 x,
l_int32 y,
l_int32 conn,
l_int32 **pneigh,
l_int32 *pnvals)
{
l_int32 i, npt, index;
l_int32 neigh[4];
l_uint32 val;
l_float32 fx, fy;
L_ASET *aset;
L_ASET_NODE *node;
PTA *pta;
RB_TYPE key;
PROCNAME("pixGetSortedNeighborValues");
if (pneigh) *pneigh = NULL;
if (pnvals) *pnvals = 0;
if (!pneigh || !pnvals)
return ERROR_INT("&neigh and &nvals not both defined", procName, 1);
if (!pixs || pixGetDepth(pixs) < 8)
return ERROR_INT("pixs not defined or depth < 8", procName, 1);
/* Identify the locations of nearest neighbor pixels */
if ((pta = ptaGetNeighborPixLocs(pixs, x, y, conn)) == NULL)
return ERROR_INT("pta of neighbors not made", procName, 1);
/* Find the pixel values and insert into a set as keys */
aset = l_asetCreate(L_UINT_TYPE);
npt = ptaGetCount(pta);
for (i = 0; i < npt; i++) {
ptaGetPt(pta, i, &fx, &fy);
pixGetPixel(pixs, (l_int32)fx, (l_int32)fy, &val);
key.utype = val;
l_asetInsert(aset, key);
}
/* Extract the set keys and put them into the %neigh array.
* Omit the value 0, which indicates the pixel doesn't
* belong to one of the sets of connected components. */
node = l_asetGetFirst(aset);
index = 0;
while (node) {
val = node->key.utype;
if (val > 0)
neigh[index++] = (l_int32)val;
node = l_asetGetNext(node);
}
*pnvals = index;
if (index > 0) {
*pneigh = (l_int32 *)LEPT_CALLOC(index, sizeof(l_int32));
for (i = 0; i < index; i++)
(*pneigh)[i] = neigh[i];
}
ptaDestroy(&pta);
l_asetDestroy(&aset);
return 0;
}
l_int32 main(int argc,
char **argv)
{
L_ASET *set;
L_DNA *da1, *da2, *da3, *da4, *da5, *da6, *da7, *da8, *dav, *dac;
L_DNAHASH *dahash;
NUMA *nav, *nac;
PTA *pta1, *pta2, *pta3;
SARRAY *sa1, *sa2, *sa3, *sa4;
lept_mkdir("lept/hash");
#if 1
/* Test string hashing with aset */
fprintf(stderr, "Set results with string hashing:\n");
sa1 = BuildShortStrings(3, 0);
sa2 = BuildShortStrings(3, 1);
fprintf(stderr, " size with unique strings: %d\n", sarrayGetCount(sa1));
fprintf(stderr, " size with dups: %d\n", sarrayGetCount(sa2));
startTimer();
set = l_asetCreateFromSarray(sa2);
fprintf(stderr, " time to make set: %5.3f sec\n", stopTimer());
fprintf(stderr, " size of set without dups: %d\n", l_asetSize(set));
l_asetDestroy(&set);
startTimer();
sa3 = sarrayRemoveDupsByAset(sa2);
fprintf(stderr, " time to remove dups: %5.3f sec\n", stopTimer());
fprintf(stderr, " size without dups = %d\n", sarrayGetCount(sa3));
startTimer();
sa4 = sarrayIntersectionByAset(sa1, sa2);
fprintf(stderr, " time to intersect: %5.3f sec\n", stopTimer());
fprintf(stderr, " intersection size = %d\n", sarrayGetCount(sa4));
sarrayDestroy(&sa3);
sarrayDestroy(&sa4);
/* Test sarray set operations with dna hash.
* We use the same hash function as is used with aset. */
fprintf(stderr, "\nDna hash results for sarray:\n");
fprintf(stderr, " size with unique strings: %d\n", sarrayGetCount(sa1));
fprintf(stderr, " size with dups: %d\n", sarrayGetCount(sa2));
startTimer();
dahash = l_dnaHashCreateFromSarray(sa2);
fprintf(stderr, " time to make hashmap: %5.3f sec\n", stopTimer());
fprintf(stderr, " entries in hashmap with dups: %d\n",
l_dnaHashGetTotalCount(dahash));
l_dnaHashDestroy(&dahash);
startTimer();
sarrayRemoveDupsByHash(sa2, &sa3, NULL);
fprintf(stderr, " time to remove dups: %5.3f sec\n", stopTimer());
fprintf(stderr, " size without dups = %d\n", sarrayGetCount(sa3));
startTimer();
sa4 = sarrayIntersectionByHash(sa1, sa2);
fprintf(stderr, " time to intersect: %5.3f sec\n", stopTimer());
fprintf(stderr, " intersection size = %d\n", sarrayGetCount(sa4));
sarrayDestroy(&sa3);
sarrayDestroy(&sa4);
sarrayDestroy(&sa1);
sarrayDestroy(&sa2);
#endif
#if 1
/* Test point hashing with aset.
* Enter all points within a 1500 x 1500 image in pta1, and include
* 450,000 duplicates in pta2. With this pt hashing function,
* there are no hash collisions among any of the 400 million pixel
* locations in a 20000 x 20000 image. */
pta1 = BuildPointSet(1500, 1500, 0);
pta2 = BuildPointSet(1500, 1500, 1);
fprintf(stderr, "\nSet results for pta:\n");
fprintf(stderr, " pta1 size with unique points: %d\n", ptaGetCount(pta1));
fprintf(stderr, " pta2 size with dups: %d\n", ptaGetCount(pta2));
startTimer();
pta3 = ptaRemoveDupsByAset(pta2);
fprintf(stderr, " Time to remove dups: %5.3f sec\n", stopTimer());
fprintf(stderr, " size without dups = %d\n", ptaGetCount(pta3));
ptaDestroy(&pta3);
startTimer();
pta3 = ptaIntersectionByAset(pta1, pta2);
fprintf(stderr, " Time to intersect: %5.3f sec\n", stopTimer());
fprintf(stderr, " intersection size = %d\n", ptaGetCount(pta3));
ptaDestroy(&pta1);
ptaDestroy(&pta2);
ptaDestroy(&pta3);
#endif
#if 1
/* Test pta set operations with dna hash, using the same pt hashing
* function. Although there are no collisions in 20K x 20K images,
* the dna hash implementation works properly even if there are some. */
pta1 = BuildPointSet(1500, 1500, 0);
pta2 = BuildPointSet(1500, 1500, 1);
fprintf(stderr, "\nDna hash results for pta:\n");
fprintf(stderr, " pta1 size with unique points: %d\n", ptaGetCount(pta1));
fprintf(stderr, " pta2 size with dups: %d\n", ptaGetCount(pta2));
startTimer();
ptaRemoveDupsByHash(pta2, &pta3, NULL);
fprintf(stderr, " Time to remove dups: %5.3f sec\n", stopTimer());
fprintf(stderr, " size without dups = %d\n", ptaGetCount(pta3));
ptaDestroy(&pta3);
startTimer();
pta3 = ptaIntersectionByHash(pta1, pta2);
fprintf(stderr, " Time to intersect: %5.3f sec\n", stopTimer());
fprintf(stderr, " intersection size = %d\n", ptaGetCount(pta3));
ptaDestroy(&pta1);
ptaDestroy(&pta2);
ptaDestroy(&pta3);
#endif
/* Test dna set and histo operations using dna hash */
#if 1
fprintf(stderr, "\nDna hash results for dna:\n");
da1 = l_dnaMakeSequence(0.0, 0.125, 8000);
da2 = l_dnaMakeSequence(300.0, 0.125, 8000);
da3 = l_dnaMakeSequence(600.0, 0.125, 8000);
da4 = l_dnaMakeSequence(900.0, 0.125, 8000);
da5 = l_dnaMakeSequence(1200.0, 0.125, 8000);
l_dnaJoin(da1, da2, 0, -1);
l_dnaJoin(da1, da3, 0, -1);
l_dnaJoin(da1, da4, 0, -1);
l_dnaJoin(da1, da5, 0, -1);
l_dnaRemoveDupsByHash(da1, &da6, &dahash);
l_dnaHashDestroy(&dahash);
fprintf(stderr, " dna size with dups = %d\n", l_dnaGetCount(da1));
fprintf(stderr, " dna size of unique numbers = %d\n", l_dnaGetCount(da6));
l_dnaMakeHistoByHash(da1, &dahash, &dav, &dac);
nav = l_dnaConvertToNuma(dav);
nac = l_dnaConvertToNuma(dac);
fprintf(stderr, " dna number of histo points = %d\n", l_dnaGetCount(dac));
gplotSimpleXY1(nav, nac, GPLOT_IMPULSES, GPLOT_PNG,
"/tmp/lept/hash/histo", "Histo");
da7 = l_dnaIntersectionByHash(da2, da3);
fprintf(stderr, " dna number of points: da2 = %d, da3 = %d\n",
l_dnaGetCount(da2), l_dnaGetCount(da3));
fprintf(stderr, " dna number of da2/da3 intersection points = %d\n",
l_dnaGetCount(da7));
l_fileDisplay("/tmp/lept/hash/histo.png", 700, 100, 1.0);
l_dnaDestroy(&da1);
l_dnaDestroy(&da2);
l_dnaDestroy(&da3);
l_dnaDestroy(&da4);
l_dnaDestroy(&da5);
l_dnaDestroy(&da6);
l_dnaDestroy(&da7);
l_dnaDestroy(&dac);
l_dnaDestroy(&dav);
l_dnaHashDestroy(&dahash);
numaDestroy(&nav);
numaDestroy(&nac);
#endif
#if 1
da1 = l_dnaMakeSequence(0, 3, 10000);
da2 = l_dnaMakeSequence(0, 5, 10000);
da3 = l_dnaMakeSequence(0, 7, 10000);
l_dnaJoin(da1, da2, 0, -1);
l_dnaJoin(da1, da3, 0, -1);
fprintf(stderr, "\nDna results using set:\n");
fprintf(stderr, " da1 count: %d\n", l_dnaGetCount(da1));
set = l_asetCreateFromDna(da1);
fprintf(stderr, " da1 set size: %d\n\n", l_asetSize(set));
l_asetDestroy(&set);
da4 = l_dnaUnionByAset(da2, da3);
fprintf(stderr, " da4 count: %d\n", l_dnaGetCount(da4));
set = l_asetCreateFromDna(da4);
fprintf(stderr, " da4 set size: %d\n\n", l_asetSize(set));
l_asetDestroy(&set);
da5 = l_dnaIntersectionByAset(da1, da2);
fprintf(stderr, " da5 count: %d\n", l_dnaGetCount(da5));
set = l_asetCreateFromDna(da5);
fprintf(stderr, " da5 set size: %d\n\n", l_asetSize(set));
l_asetDestroy(&set);
da6 = l_dnaMakeSequence(100000, 11, 5000);
l_dnaJoin(da6, da1, 0, -1);
fprintf(stderr, " da6 count: %d\n", l_dnaGetCount(da6));
set = l_asetCreateFromDna(da6);
fprintf(stderr, " da6 set size: %d\n\n", l_asetSize(set));
l_asetDestroy(&set);
da7 = l_dnaIntersectionByAset(da6, da3);
fprintf(stderr, " da7 count: %d\n", l_dnaGetCount(da7));
set = l_asetCreateFromDna(da7);
fprintf(stderr, " da7 set size: %d\n\n", l_asetSize(set));
l_asetDestroy(&set);
da8 = l_dnaRemoveDupsByAset(da1);
fprintf(stderr, " da8 count: %d\n\n", l_dnaGetCount(da8));
l_dnaDestroy(&da1);
l_dnaDestroy(&da2);
l_dnaDestroy(&da3);
l_dnaDestroy(&da4);
l_dnaDestroy(&da5);
l_dnaDestroy(&da6);
l_dnaDestroy(&da7);
l_dnaDestroy(&da8);
#endif
return 0;
}
/*!
* boxIntersectByLine()
*
* Input: box
* x, y (point that line goes through)
* slope (of line)
* (&x1, &y1) (<return> 1st point of intersection with box)
* (&x2, &y2) (<return> 2nd point of intersection with box)
* &n (<return> number of points of intersection)
* Return: 0 if OK, 1 on error
*
* Notes:
* (1) If the intersection is at only one point (a corner), the
* coordinates are returned in (x1, y1).
* (2) Represent a vertical line by one with a large but finite slope.
*/
l_int32
boxIntersectByLine(BOX *box,
l_int32 x,
l_int32 y,
l_float32 slope,
l_int32 *px1,
l_int32 *py1,
l_int32 *px2,
l_int32 *py2,
l_int32 *pn)
{
l_int32 bx, by, bw, bh, xp, yp, xt, yt, i, n;
l_float32 invslope;
PTA *pta;
PROCNAME("boxIntersectByLine");
if (!px1 || !py1 || !px2 || !py2)
return ERROR_INT("&x1, &y1, &x2, &y2 not all defined", procName, 1);
*px1 = *py1 = *px2 = *py2 = 0;
if (!pn)
return ERROR_INT("&n not defined", procName, 1);
*pn = 0;
if (!box)
return ERROR_INT("box not defined", procName, 1);
boxGetGeometry(box, &bx, &by, &bw, &bh);
if (slope == 0.0) {
if (y >= by && y < by + bh) {
*py1 = *py2 = y;
*px1 = bx;
*px2 = bx + bw - 1;
}
return 0;
}
if (slope > 1000000.0) {
if (x >= bx && x < bx + bw) {
*px1 = *px2 = x;
*py1 = by;
*py2 = by + bh - 1;
}
return 0;
}
/* Intersection with top and bottom lines of box */
pta = ptaCreate(2);
invslope = 1.0 / slope;
xp = (l_int32)(x + invslope * (y - by));
if (xp >= bx && xp < bx + bw)
ptaAddPt(pta, xp, by);
xp = (l_int32)(x + invslope * (y - by - bh + 1));
if (xp >= bx && xp < bx + bw)
ptaAddPt(pta, xp, by + bh - 1);
/* Intersection with left and right lines of box */
yp = (l_int32)(y + slope * (x - bx));
if (yp >= by && yp < by + bh)
ptaAddPt(pta, bx, yp);
yp = (l_int32)(y + slope * (x - bx - bw + 1));
if (yp >= by && yp < by + bh)
ptaAddPt(pta, bx + bw - 1, yp);
/* There is a maximum of 2 unique points; remove duplicates. */
n = ptaGetCount(pta);
if (n > 0) {
ptaGetIPt(pta, 0, px1, py1); /* accept the first one */
*pn = 1;
}
for (i = 1; i < n; i++) {
ptaGetIPt(pta, i, &xt, &yt);
if ((*px1 != xt) || (*py1 != yt)) {
*px2 = xt;
*py2 = yt;
*pn = 2;
break;
}
}
ptaDestroy(&pta);
return 0;
}
int main(int argc,
char **argv)
{
l_int32 i, w, h, nbox, npta, fgcount, bgcount, count;
BOXA *boxa;
PIX *pixs, *pixfg, *pixbg, *pixc, *pixb, *pixd;
PIX *pix1, *pix2, *pix3, *pix4;
PIXA *pixa;
PTA *pta;
PTAA *ptaafg, *ptaabg;
L_REGPARAMS *rp;
if (regTestSetup(argc, argv, &rp))
return 1;
pixs = pixRead("feyn-fract.tif");
boxa = pixConnComp(pixs, NULL, 8);
nbox = boxaGetCount(boxa);
regTestCompareValues(rp, nbox, 464, 0); /* 0 */
/* Get fg and bg boundary pixels */
pixfg = pixMorphSequence(pixs, "e3.3", 0);
pixXor(pixfg, pixfg, pixs);
pixCountPixels(pixfg, &fgcount, NULL);
regTestCompareValues(rp, fgcount, 58764, 0); /* 1 */
pixbg = pixMorphSequence(pixs, "d3.3", 0);
pixXor(pixbg, pixbg, pixs);
pixCountPixels(pixbg, &bgcount, NULL);
regTestCompareValues(rp, bgcount, 60335, 0); /* 2 */
/* Get ptaa of fg pixels */
ptaafg = ptaaGetBoundaryPixels(pixs, L_BOUNDARY_FG, 8, NULL, NULL);
npta = ptaaGetCount(ptaafg);
regTestCompareValues(rp, npta, nbox, 0); /* 3 */
count = 0;
for (i = 0; i < npta; i++) {
pta = ptaaGetPta(ptaafg, i, L_CLONE);
count += ptaGetCount(pta);
ptaDestroy(&pta);
}
regTestCompareValues(rp, fgcount, count, 0); /* 4 */
/* Get ptaa of bg pixels. Note that the number of bg pts
* is, in general, larger than the number of bg boundary pixels,
* because bg boundary pixels are shared by two c.c. that
* are 1 pixel apart. */
ptaabg = ptaaGetBoundaryPixels(pixs, L_BOUNDARY_BG, 8, NULL, NULL);
npta = ptaaGetCount(ptaabg);
regTestCompareValues(rp, npta, nbox, 0); /* 5 */
count = 0;
for (i = 0; i < npta; i++) {
pta = ptaaGetPta(ptaabg, i, L_CLONE);
count += ptaGetCount(pta);
ptaDestroy(&pta);
}
regTestCompareValues(rp, count, 60602, 0); /* 6 */
/* Render the fg boundary pixels on top of pixs. */
pixa = pixaCreate(4);
pixc = pixRenderRandomCmapPtaa(pixs, ptaafg, 0, 0, 0);
regTestWritePixAndCheck(rp, pixc, IFF_PNG); /* 7 */
pixSaveTiledOutline(pixc, pixa, 1.0, 1, 30, 2, 32);
pixDestroy(&pixc);
/* Render the bg boundary pixels on top of pixs. */
pixc = pixRenderRandomCmapPtaa(pixs, ptaabg, 0, 0, 0);
regTestWritePixAndCheck(rp, pixc, IFF_PNG); /* 8 */
pixSaveTiledOutline(pixc, pixa, 1.0, 0, 30, 2, 32);
pixDestroy(&pixc);
pixClearAll(pixs);
/* Render the fg boundary pixels alone. */
pixc = pixRenderRandomCmapPtaa(pixs, ptaafg, 0, 0, 0);
regTestWritePixAndCheck(rp, pixc, IFF_PNG); /* 9 */
pixSaveTiledOutline(pixc, pixa, 1.0, 1, 30, 2, 32);
/* Verify that the fg pixels are the same set as we
* originally started with. */
pixb = pixConvertTo1(pixc, 255);
regTestComparePix(rp, pixb, pixfg); /* 10 */
pixDestroy(&pixc);
pixDestroy(&pixb);
/* Render the bg boundary pixels alone. */
pixc = pixRenderRandomCmapPtaa(pixs, ptaabg, 0, 0, 0);
regTestWritePixAndCheck(rp, pixc, IFF_PNG); /* 11 */
pixSaveTiledOutline(pixc, pixa, 1.0, 0, 30, 2, 32);
/* Verify that the bg pixels are the same set as we
* originally started with. */
pixb = pixConvertTo1(pixc, 255);
regTestComparePix(rp, pixb, pixbg); /* 12 */
pixDestroy(&pixc);
pixDestroy(&pixb);
pixd = pixaDisplay(pixa, 0, 0);
pixDisplayWithTitle(pixd, 0, 0, NULL, rp->display);
ptaaDestroy(&ptaafg);
ptaaDestroy(&ptaabg);
pixDestroy(&pixs);
pixDestroy(&pixfg);
pixDestroy(&pixbg);
pixDestroy(&pixd);
pixaDestroy(&pixa);
boxaDestroy(&boxa);
/* Test rotation */
pix1 = pixRead("feyn-word.tif");
pix2 = pixAddBorderGeneral(pix1, 200, 200, 200, 200, 0);
pixa = pixaCreate(0);
pix3 = PtaDisplayRotate(pix2, 0, 0);
pixaAddPix(pixa, pix3, L_INSERT);
pix3 = PtaDisplayRotate(pix2, 500, 100);
pixaAddPix(pixa, pix3, L_INSERT);
pix3 = PtaDisplayRotate(pix2, 100, 410);
pixaAddPix(pixa, pix3, L_INSERT);
pix3 = PtaDisplayRotate(pix2, 500, 410);
pixaAddPix(pixa, pix3, L_INSERT);
pix4 = pixaDisplayTiledInRows(pixa, 32, 1500, 1.0, 0, 30, 2);
regTestWritePixAndCheck(rp, pix4, IFF_PNG); /* 13 */
pixDisplayWithTitle(pix4, 800, 0, NULL, rp->display);
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix4);
pixaDestroy(&pixa);
return regTestCleanup(rp);
}
/*!
* \brief pixConnCompIncrAdd()
*
* \param[in] pixs 32 bpp, with pixels labeled by c.c.
* \param[in] ptaa with each pta of pixel locations indexed by c.c.
* \param[out] pncc number of c.c
* \param[in] x,y location of added pixel
* \param[in] debug 0 for no output; otherwise output whenever
* debug <= nvals, up to debug == 3
* \return -1 if nothing happens; 0 if a pixel is added; 1 on error
*
* <pre>
* Notes:
* (1) This adds a pixel and updates the labeled connected components.
* Before calling this function, initialize the process using
* pixConnCompIncrInit().
* (2) As a result of adding a pixel, one of the following can happen,
* depending on the number of neighbors with non-zero value:
* (a) nothing: the pixel is already a member of a c.c.
* (b) no neighbors: a new component is added, increasing the
* number of c.c.
* (c) one neighbor: the pixel is added to an existing c.c.
* (d) more than one neighbor: the added pixel causes joining of
* two or more c.c., reducing the number of c.c. A maximum
* of 4 c.c. can be joined.
* (3) When two c.c. are joined, the pixels in the larger index are
* relabeled to those of the smaller in pixs, and their locations
* are transferred to the pta with the smaller index in the ptaa.
* The pta corresponding to the larger index is then deleted.
* (4) This is an efficient implementation of a "union-find" operation,
* which supports the generation and merging of disjoint sets
* of pixels. This function can be called about 1.3 million times
* per second.
* </pre>
*/
l_int32
pixConnCompIncrAdd(PIX *pixs,
PTAA *ptaa,
l_int32 *pncc,
l_float32 x,
l_float32 y,
l_int32 debug)
{
l_int32 conn, i, j, w, h, count, nvals, ns, firstindex;
l_uint32 val;
l_int32 *neigh;
PTA *ptas, *ptad;
PROCNAME("pixConnCompIncrAdd");
if (!pixs || pixGetDepth(pixs) != 32)
return ERROR_INT("pixs not defined or not 32 bpp", procName, 1);
if (!ptaa)
return ERROR_INT("ptaa not defined", procName, 1);
if (!pncc)
return ERROR_INT("&ncc not defined", procName, 1);
conn = pixs->special;
if (conn != 4 && conn != 8)
return ERROR_INT("connectivity must be 4 or 8", procName, 1);
pixGetDimensions(pixs, &w, &h, NULL);
if (x < 0 || x >= w)
return ERROR_INT("invalid x pixel location", procName, 1);
if (y < 0 || y >= h)
return ERROR_INT("invalid y pixel location", procName, 1);
pixGetPixel(pixs, x, y, &val);
if (val > 0) /* already belongs to a set */
return -1;
/* Find unique neighbor pixel values in increasing order of value.
* If %nvals > 0, these are returned in the %neigh array, which
* is of size %nvals. Note that the pixel values in each
* connected component are used as the index into the pta
* array of the ptaa, giving the pixel locations. */
pixGetSortedNeighborValues(pixs, x, y, conn, &neigh, &nvals);
/* If there are no neighbors, just add a new component */
if (nvals == 0) {
count = ptaaGetCount(ptaa);
pixSetPixel(pixs, x, y, count);
ptas = ptaCreate(1);
ptaAddPt(ptas, x, y);
ptaaAddPta(ptaa, ptas, L_INSERT);
*pncc += 1;
LEPT_FREE(neigh);
return 0;
}
/* Otherwise, there is at least one neighbor. Add the pixel
* to the first neighbor c.c. */
firstindex = neigh[0];
pixSetPixel(pixs, x, y, firstindex);
ptaaAddPt(ptaa, neigh[0], x, y);
if (nvals == 1) {
if (debug == 1)
fprintf(stderr, "nvals = %d: neigh = (%d)\n", nvals, neigh[0]);
LEPT_FREE(neigh);
return 0;
}
/* If nvals > 1, there are at least 2 neighbors, so this pixel
* joins at least one pair of existing c.c. Join each component
* to the first component in the list, which is the one with
* the smallest integer label. This is done in two steps:
* (a) re-label the pixels in the component to the label of the
* first component, and
* (b) save the pixel locations in the pta for the first component. */
if (nvals == 2) {
if (debug >= 1 && debug <= 2) {
fprintf(stderr, "nvals = %d: neigh = (%d,%d)\n", nvals,
neigh[0], neigh[1]);
}
} else if (nvals == 3) {
if (debug >= 1 && debug <= 3) {
fprintf(stderr, "nvals = %d: neigh = (%d,%d,%d)\n", nvals,
neigh[0], neigh[1], neigh[2]);
}
} else { /* nvals == 4 */
if (debug >= 1 && debug <= 4) {
fprintf(stderr, "nvals = %d: neigh = (%d,%d,%d,%d)\n", nvals,
neigh[0], neigh[1], neigh[2], neigh[3]);
}
}
ptad = ptaaGetPta(ptaa, firstindex, L_CLONE);
for (i = 1; i < nvals; i++) {
ptas = ptaaGetPta(ptaa, neigh[i], L_CLONE);
ns = ptaGetCount(ptas);
for (j = 0; j < ns; j++) { /* relabel pixels */
ptaGetPt(ptas, j, &x, &y);
pixSetPixel(pixs, x, y, firstindex);
}
ptaJoin(ptad, ptas, 0, -1); /* add relabeled pixel locations */
*pncc -= 1;
ptaDestroy(&ptaa->pta[neigh[i]]);
ptaDestroy(&ptas); /* the clone */
}
ptaDestroy(&ptad); /* the clone */
LEPT_FREE(neigh);
return 0;
}
/*!
* wshedApply()
*
* Input: wshed (generated from wshedCreate())
* Return: 0 if OK, 1 on error
*
* Iportant note:
* (1) This is buggy. It seems to locate watersheds that are
* duplicates. The watershed extraction after complete fill
* grabs some regions belonging to existing watersheds.
* See prog/watershedtest.c for testing.
*/
l_int32
wshedApply(L_WSHED *wshed) {
char two_new_watersheds[] = "Two new watersheds";
char seed_absorbed_into_seeded_basin[] = "Seed absorbed into seeded basin";
char one_new_watershed_label[] = "One new watershed (label)";
char one_new_watershed_index[] = "One new watershed (index)";
char minima_absorbed_into_seeded_basin[] =
"Minima absorbed into seeded basin";
char minima_absorbed_by_filler_or_another[] =
"Minima absorbed by filler or another";
l_int32 nseeds, nother, nboth, arraysize;
l_int32 i, j, val, x, y, w, h, index, mindepth;
l_int32 imin, imax, jmin, jmax, cindex, clabel, nindex;
l_int32 hindex, hlabel, hmin, hmax, minhindex, maxhindex;
l_int32 *lut;
l_uint32 ulabel, uval;
void **lines8, **linelab32;
NUMA *nalut, *nalevels, *nash, *namh, *nasi;
NUMA **links;
L_HEAP *lh;
PIX *pixmin, *pixsd;
PIXA *pixad;
L_STACK *rstack;
PTA *ptas, *ptao;
PROCNAME("wshedApply");
if (!wshed)
return ERROR_INT("wshed not defined", procName, 1);
/* ------------------------------------------------------------ *
* Initialize priority queue and pixlab with seeds and minima *
* ------------------------------------------------------------ */
lh = lheapCreate(0, L_SORT_INCREASING); /* remove lowest values first */
rstack = lstackCreate(0); /* for reusing the WSPixels */
pixGetDimensions(wshed->pixs, &w, &h, NULL);
lines8 = wshed->lines8; /* wshed owns this */
linelab32 = wshed->linelab32; /* ditto */
/* Identify seed (marker) pixels, 1 for each c.c. in pixm */
pixSelectMinInConnComp(wshed->pixs, wshed->pixm, &ptas, &nash);
pixsd = pixGenerateFromPta(ptas, w, h);
nseeds = ptaGetCount(ptas);
for (i = 0; i < nseeds; i++) {
ptaGetIPt(ptas, i, &x, &y);
uval = GET_DATA_BYTE(lines8[y], x);
pushWSPixel(lh, rstack, (l_int32) uval, x, y, i);
}
wshed->ptas = ptas;
nasi = numaMakeConstant(1, nseeds); /* indicator array */
wshed->nasi = nasi;
wshed->nash = nash;
wshed->nseeds = nseeds;
/* Identify minima that are not seeds. Use these 4 steps:
* (1) Get the local minima, which can have components
* of arbitrary size. This will be a clipping mask.
* (2) Get the image of the actual seeds (pixsd)
* (3) Remove all elements of the clipping mask that have a seed.
* (4) Shrink each of the remaining elements of the minima mask
* to a single pixel. */
pixLocalExtrema(wshed->pixs, 200, 0, &pixmin, NULL);
pixRemoveSeededComponents(pixmin, pixsd, pixmin, 8, 2);
pixSelectMinInConnComp(wshed->pixs, pixmin, &ptao, &namh);
nother = ptaGetCount(ptao);
for (i = 0; i < nother; i++) {
ptaGetIPt(ptao, i, &x, &y);
uval = GET_DATA_BYTE(lines8[y], x);
pushWSPixel(lh, rstack, (l_int32) uval, x, y, nseeds + i);
}
wshed->namh = namh;
/* ------------------------------------------------------------ *
* Initialize merging lookup tables *
* ------------------------------------------------------------ */
/* nalut should always give the current after-merging index.
* links are effectively backpointers: they are numas associated with
* a dest index of all indices in nalut that point to that index. */
mindepth = wshed->mindepth;
nboth = nseeds + nother;
arraysize = 2 * nboth;
wshed->arraysize = arraysize;
nalut = numaMakeSequence(0, 1, arraysize);
lut = numaGetIArray(nalut);
wshed->lut = lut; /* wshed owns this */
links = (NUMA **) CALLOC(arraysize, sizeof(NUMA * ));
wshed->links = links; /* wshed owns this */
nindex = nseeds + nother; /* the next unused index value */
/* ------------------------------------------------------------ *
* Fill the basins, using the priority queue *
* ------------------------------------------------------------ */
pixad = pixaCreate(nseeds);
wshed->pixad = pixad; /* wshed owns this */
nalevels = numaCreate(nseeds);
wshed->nalevels = nalevels; /* wshed owns this */
L_INFO("nseeds = %d, nother = %d\n", procName, nseeds, nother);
while (lheapGetCount(lh) > 0) {
popWSPixel(lh, rstack, &val, &x, &y, &index);
/* fprintf(stderr, "x = %d, y = %d, index = %d\n", x, y, index); */
ulabel = GET_DATA_FOUR_BYTES(linelab32[y], x);
if (ulabel == MAX_LABEL_VALUE)
clabel = ulabel;
else
clabel = lut[ulabel];
cindex = lut[index];
if (clabel == cindex) continue; /* have already seen this one */
if (clabel == MAX_LABEL_VALUE) { /* new one; assign index and try to
* propagate to all neighbors */
SET_DATA_FOUR_BYTES(linelab32[y], x, cindex);
imin = L_MAX(0, y - 1);
imax = L_MIN(h - 1, y + 1);
jmin = L_MAX(0, x - 1);
jmax = L_MIN(w - 1, x + 1);
for (i = imin; i <= imax; i++) {
for (j = jmin; j <= jmax; j++) {
if (i == y && j == x) continue;
uval = GET_DATA_BYTE(lines8[i], j);
pushWSPixel(lh, rstack, (l_int32) uval, j, i, cindex);
}
}
} else { /* pixel is already labeled (differently); must resolve */
/* If both indices are seeds, check if the min height is
* greater than mindepth. If so, we have two new watersheds;
* locate them and assign to both regions a new index
* for further waterfill. If not, absorb the shallower
* watershed into the deeper one and continue filling it. */
pixGetPixel(pixsd, x, y, &uval);
if (clabel < nseeds && cindex < nseeds) {
wshedGetHeight(wshed, val, clabel, &hlabel);
wshedGetHeight(wshed, val, cindex, &hindex);
hmin = L_MIN(hlabel, hindex);
hmax = L_MAX(hlabel, hindex);
if (hmin == hmax) {
hmin = hlabel;
hmax = hindex;
}
if (wshed->debug) {
fprintf(stderr, "clabel,hlabel = %d,%d\n", clabel, hlabel);
fprintf(stderr, "hmin = %d, hmax = %d\n", hmin, hmax);
fprintf(stderr, "cindex,hindex = %d,%d\n", cindex, hindex);
if (hmin < mindepth)
fprintf(stderr, "Too shallow!\n");
}
if (hmin >= mindepth) {
debugWshedMerge(wshed, two_new_watersheds,
x, y, clabel, cindex);
wshedSaveBasin(wshed, cindex, val - 1);
wshedSaveBasin(wshed, clabel, val - 1);
numaSetValue(nasi, cindex, 0);
numaSetValue(nasi, clabel, 0);
if (wshed->debug) fprintf(stderr, "nindex = %d\n", nindex);
debugPrintLUT(lut, nindex, wshed->debug);
mergeLookup(wshed, clabel, nindex);
debugPrintLUT(lut, nindex, wshed->debug);
mergeLookup(wshed, cindex, nindex);
debugPrintLUT(lut, nindex, wshed->debug);
nindex++;
} else /* extraneous seed within seeded basin; absorb */ {
debugWshedMerge(wshed, seed_absorbed_into_seeded_basin,
x, y, clabel, cindex);
}
maxhindex = clabel; /* TODO: is this part of above 'else'? */
minhindex = cindex;
if (hindex > hlabel) {
maxhindex = cindex;
minhindex = clabel;
}
mergeLookup(wshed, minhindex, maxhindex);
} else if (clabel < nseeds && cindex >= nboth) {
/* If one index is a seed and the other is a merge of
* 2 watersheds, generate a single watershed. */
debugWshedMerge(wshed, one_new_watershed_label,
x, y, clabel, cindex);
wshedSaveBasin(wshed, clabel, val - 1);
numaSetValue(nasi, clabel, 0);
mergeLookup(wshed, clabel, cindex);
} else if (cindex < nseeds && clabel >= nboth) {
debugWshedMerge(wshed, one_new_watershed_index,
x, y, clabel, cindex);
wshedSaveBasin(wshed, cindex, val - 1);
numaSetValue(nasi, cindex, 0);
mergeLookup(wshed, cindex, clabel);
} else if (clabel < nseeds) { /* cindex from minima; absorb */
/* If one index is a seed and the other is from a minimum,
* merge the minimum wshed into the seed wshed. */
debugWshedMerge(wshed, minima_absorbed_into_seeded_basin,
x, y, clabel, cindex);
mergeLookup(wshed, cindex, clabel);
} else if (cindex < nseeds) { /* clabel from minima; absorb */
debugWshedMerge(wshed, minima_absorbed_into_seeded_basin,
x, y, clabel, cindex);
mergeLookup(wshed, clabel, cindex);
} else { /* If neither index is a seed, just merge */
debugWshedMerge(wshed, minima_absorbed_by_filler_or_another,
x, y, clabel, cindex);
mergeLookup(wshed, clabel, cindex);
}
}
}
#if 0
/* Use the indicator array to save any watersheds that fill
* to the maximum value. This seems to screw things up! */
for (i = 0; i < nseeds; i++) {
numaGetIValue(nasi, i, &ival);
if (ival == 1) {
wshedSaveBasin(wshed, lut[i], val - 1);
numaSetValue(nasi, i, 0);
}
}
#endif
numaDestroy(&nalut);
pixDestroy(&pixmin);
pixDestroy(&pixsd);
ptaDestroy(&ptao);
lheapDestroy(&lh, TRUE);
lstackDestroy(&rstack, TRUE);
return 0;
}