main(int argc,
char **argv)
{
l_int32 w;
PIX *pixs, *pixt, *pixd;
PIXA *pixa;
static char mainName[] = "smoothedge_reg";
pixs = pixRead("raggededge.png");
w = pixGetWidth(pixs);
pixa = pixaCreate(0);
PixAddEdgeData(pixa, pixs, L_FROM_RIGHT, MIN_JUMP, MIN_REVERSAL);
PixAddEdgeData(pixa, pixs, L_FROM_LEFT, MIN_JUMP, MIN_REVERSAL);
pixt = pixRotateOrth(pixs, 1);
PixAddEdgeData(pixa, pixt, L_FROM_BOTTOM, MIN_JUMP, MIN_REVERSAL);
PixAddEdgeData(pixa, pixt, L_FROM_TOP, MIN_JUMP, MIN_REVERSAL);
pixDestroy(&pixt);
pixt = pixRotateOrth(pixs, 2);
PixAddEdgeData(pixa, pixt, L_FROM_LEFT, MIN_JUMP, MIN_REVERSAL);
PixAddEdgeData(pixa, pixt, L_FROM_RIGHT, MIN_JUMP, MIN_REVERSAL);
pixDestroy(&pixt);
pixt = pixRotateOrth(pixs, 3);
PixAddEdgeData(pixa, pixt, L_FROM_TOP, MIN_JUMP, MIN_REVERSAL);
PixAddEdgeData(pixa, pixt, L_FROM_BOTTOM, MIN_JUMP, MIN_REVERSAL);
pixDestroy(&pixt);
pixDestroy(&pixs);
/* Display at 2x scaling */
pixd = pixaDisplayTiledAndScaled(pixa, 32, 2 * (w + 10), 2, 0, 25, 2);
pixWrite("/tmp/junkpixd.png", pixd, IFF_PNG);
pixDestroy(&pixd);
pixaDestroy(&pixa);
return 0;
}
Pix* pixCorrectOrientation(Pix* pix){
FUNCNAME("pixCorrectOrientation");
l_float32 upConf,leftConf;
l_int32 orientDetectResult = pixOrientDetectDwa(pix, &upConf, &leftConf, 0, 0);
if(!orientDetectResult){
l_int32 orient;
orientDetectResult = makeOrientDecision(upConf, leftConf, 0, 0, &orient, 0);
if(!orientDetectResult){
L_INFO("upConf = %.2f, leftConf = %.2f, orientation = %i\n", procName, upConf, leftConf, orient);
}
switch (orient) {
case L_TEXT_ORIENT_UNKNOWN:
case L_TEXT_ORIENT_UP:
return pixClone(pix);
break;
case L_TEXT_ORIENT_LEFT:
return pixRotateOrth(pix, 1);
case L_TEXT_ORIENT_DOWN:
return pixRotateOrth(pix, 2);
case L_TEXT_ORIENT_RIGHT:
return pixRotateOrth(pix, 3);
}
}
return pixClone(pix);
}
jlong Java_com_googlecode_leptonica_android_Rotate_nativeRotateOrth(JNIEnv *env, jclass clazz,
jlong nativePix, jint quads) {
PIX *pixs = (PIX *) nativePix;
PIX *pixd;
pixd = pixRotateOrth(pixs,(int)quads);
return (jlong) pixd;
}
/*
* Rotate pixs by number of 90 degree cw rotations
*/
void MainWindow::rotate(int quads) {
PIX *pixd;
pixd = pixRotateOrth(pixs, quads);
pixs = pixCopy(NULL, pixd);
setPixToScene();
pixDestroy(&pixd);
modified = true;
updateTitle();
}
jint Java_com_googlecode_leptonica_android_Rotate_nativeRotateOrth(JNIEnv *env, jclass clazz,
jint nativePix, jint quads) {
LOGV("%s",__FUNCTION__);
PIX *pixs = (PIX *) nativePix;
PIX *pixd;
pixd = pixRotateOrth(pixs,(int)quads);
return (jint) pixd;
}
// Helper gets the image of a rectangle, using the block.re_rotation() if
// needed to get to the image, and rotating the result back to horizontal
// layout. (CJK characters will be on their left sides) The vertical text flag
// is set in the returned ImageData if the text was originally vertical, which
// can be used to invoke a different CJK recognition engine. The revised_box
// is also returned to enable calculation of output bounding boxes.
ImageData* Tesseract::GetRectImage(const TBOX& box, const BLOCK& block,
int padding, TBOX* revised_box) const {
TBOX wbox = box;
wbox.pad(padding, padding);
*revised_box = wbox;
// Number of clockwise 90 degree rotations needed to get back to tesseract
// coords from the clipped image.
int num_rotations = 0;
if (block.re_rotation().y() > 0.0f)
num_rotations = 1;
else if (block.re_rotation().x() < 0.0f)
num_rotations = 2;
else if (block.re_rotation().y() < 0.0f)
num_rotations = 3;
// Handle two cases automatically: 1 the box came from the block, 2 the box
// came from a box file, and refers to the image, which the block may not.
if (block.bounding_box().major_overlap(*revised_box))
revised_box->rotate(block.re_rotation());
// Now revised_box always refers to the image.
// BestPix is never colormapped, but may be of any depth.
Pix* pix = BestPix();
int width = pixGetWidth(pix);
int height = pixGetHeight(pix);
TBOX image_box(0, 0, width, height);
// Clip to image bounds;
*revised_box &= image_box;
if (revised_box->null_box()) return NULL;
Box* clip_box = boxCreate(revised_box->left(), height - revised_box->top(),
revised_box->width(), revised_box->height());
Pix* box_pix = pixClipRectangle(pix, clip_box, NULL);
if (box_pix == NULL) return NULL;
boxDestroy(&clip_box);
if (num_rotations > 0) {
Pix* rot_pix = pixRotateOrth(box_pix, num_rotations);
pixDestroy(&box_pix);
box_pix = rot_pix;
}
// Convert sub-8-bit images to 8 bit.
int depth = pixGetDepth(box_pix);
if (depth < 8) {
Pix* grey;
grey = pixConvertTo8(box_pix, false);
pixDestroy(&box_pix);
box_pix = grey;
}
bool vertical_text = false;
if (num_rotations > 0) {
// Rotated the clipped revised box back to internal coordinates.
FCOORD rotation(block.re_rotation().x(), -block.re_rotation().y());
revised_box->rotate(rotation);
if (num_rotations != 2)
vertical_text = true;
}
return new ImageData(vertical_text, box_pix);
}
/*
* pixFindSkewOrthogonalRange()
*
* Input: pixs (1 bpp)
* &angle (<return> angle required to deskew; in degrees cw)
* &conf (<return> confidence given by ratio of max/min score)
* redsweep (sweep reduction factor = 1, 2, 4 or 8)
* redsearch (binary search reduction factor = 1, 2, 4 or 8;
* and must not exceed redsweep)
* sweeprange (half the full range in each orthogonal
* direction, taken about 0, in degrees)
* sweepdelta (angle increment of sweep; in degrees)
* minbsdelta (min binary search increment angle; in degrees)
* confprior (amount by which confidence of 90 degree rotated
* result is reduced when comparing with unrotated
* confidence value)
* Return: 0 if OK, 1 on error or if angle measurment not valid
*
* Notes:
* (1) This searches for the skew angle, first in the range
* [-sweeprange, sweeprange], and then in
* [90 - sweeprange, 90 + sweeprange], with angles measured
* clockwise. For exploring the full range of possibilities,
* suggest using sweeprange = 47.0 degrees, giving some overlap
* at 45 and 135 degrees. From these results, and discounting
* the the second confidence by %confprior, it selects the
* angle for maximal differential variance. If the angle
* is larger than pi/4, the angle found after 90 degree rotation
* is selected.
* (2) The larger the confidence value, the greater the probability
* that the proper alignment is given by the angle that maximizes
* variance. It should be compared to a threshold, which depends
* on the application. Values between 3.0 and 6.0 are common.
* (3) Allowing for both portrait and landscape searches is more
* difficult, because if the signal from the text lines is weak,
* a signal from vertical rules can be larger!
* The most difficult documents to deskew have some or all of:
* (a) Multiple columns, not aligned
* (b) Black lines along the vertical edges
* (c) Text from two pages, and at different angles
* Rule of thumb for resolution:
* (a) If the margins are clean, you can work at 75 ppi,
* although 100 ppi is safer.
* (b) If there are vertical lines in the margins, do not
* work below 150 ppi. The signal from the text lines must
* exceed that from the margin lines.
* (4) Choosing the %confprior parameter depends on knowing something
* about the source of image. However, we're not using
* real probabilities here, so its use is qualitative.
* If landscape and portrait are equally likely, use
* %confprior = 0.0. If the likelihood of portrait (non-rotated)
* is 100 times higher than that of landscape, we want to reduce
* the chance that we rotate to landscape in a situation where
* the landscape signal is accidentally larger than the
* portrait signal. To do this use a positive value of
* %confprior; say 1.5.
*/
l_int32
pixFindSkewOrthogonalRange(PIX *pixs,
l_float32 *pangle,
l_float32 *pconf,
l_int32 redsweep,
l_int32 redsearch,
l_float32 sweeprange,
l_float32 sweepdelta,
l_float32 minbsdelta,
l_float32 confprior)
{
l_float32 angle1, conf1, score1, angle2, conf2, score2;
PIX *pixr;
PROCNAME("pixFindSkewOrthogonalRange");
if (pangle) *pangle = 0.0;
if (pconf) *pconf = 0.0;
if (!pangle || !pconf)
return ERROR_INT("&angle and/or &conf not defined", procName, 1);
if (!pixs || pixGetDepth(pixs) != 1)
return ERROR_INT("pixs not defined or not 1 bpp", procName, 1);
pixFindSkewSweepAndSearchScorePivot(pixs, &angle1, &conf1, &score1,
redsweep, redsearch, 0.0,
sweeprange, sweepdelta, minbsdelta,
L_SHEAR_ABOUT_CORNER);
pixr = pixRotateOrth(pixs, 1);
pixFindSkewSweepAndSearchScorePivot(pixr, &angle2, &conf2, &score2,
redsweep, redsearch, 0.0,
sweeprange, sweepdelta, minbsdelta,
L_SHEAR_ABOUT_CORNER);
pixDestroy(&pixr);
if (conf1 > conf2 - confprior) {
*pangle = angle1;
*pconf = conf1;
} else {
*pangle = -90.0 + angle2;
*pconf = conf2;
}
#if DEBUG_PRINT_ORTH
fprintf(stderr, " About 0: angle1 = %7.3f, conf1 = %7.3f, score1 = %f\n",
angle1, conf1, score1);
fprintf(stderr, " About 90: angle2 = %7.3f, conf2 = %7.3f, score2 = %f\n",
angle2, conf2, score2);
fprintf(stderr, " Final: angle = %7.3f, conf = %7.3f\n", *pangle, *pconf);
#endif /* DEBUG_PRINT_ORTH */
return 0;
}
//------------------------------------------------------------------------------
//Ортогональный поворот исходного изображения и обрезка его до
//крайней правой нижней части с размером (dX x dY)
//------------------------------------------------------------------------------
PIX* LeptPrepareFile::getCroppingRotatePix(PIX *pix, l_int32 degree, l_int32 dX, l_int32 dY)
{
PIX *pixRotated, *pixCrop;
BOX *boxCrop;
l_int32 quads;
LEP_LOG("enter");
SetNULL(3, (void **)&pixRotated, &pixCrop, &boxCrop);
try
{
LEP_STR_THROW(!pix, "Изображение не найдено");
quads = degree / 90;
pixRotated = pixRotateOrth(pix, quads);
LEP_STR_THROW(!pixRotated, "Ошибка поворота");
boxCrop = boxCreate(pixRotated->w - dX,
pixRotated->h - dY,
dX, dY);
LEP_STR_THROW(!boxCrop, "Ошибка создания box");
pixCrop = pixClipRectangle(pixRotated, boxCrop, NULL);
LEP_STR_THROW(!pixCrop, "Ошибка обрезки");
}catch (string error)
{
LEP_ERROR(error);
};
if (pixRotated) pixDestroy(&pixRotated);
if (boxCrop) boxDestroy(&boxCrop);
LEP_LOG("exit");
return pixCrop;
}
l_int32 main(int argc,
char **argv)
{
l_int32 ret, i, n, similar, x1, y1, val1, val2, val3, val4;
l_float32 minave, minave2, maxave, fract;
NUMA *na1, *na2, *na3, *na4, *na5, *na6;
NUMAA *naa;
PIX *pixs, *pix1, *pix2, *pix3, *pix4;
L_REGPARAMS *rp;
if (regTestSetup(argc, argv, &rp))
return 1;
pixs = pixRead("feyn.tif");
pix1 = pixScaleToGray6(pixs);
pixDisplayWithTitle(pix1, 100, 600, NULL, rp->display);
/* Find averages of min and max along about 120 horizontal lines */
fprintf(stderr, "Ignore the following 12 error messages:\n");
na1 = numaCreate(0);
na3 = numaCreate(0);
for (y1 = 40; y1 < 575; y1 += 5) {
ret = pixMinMaxNearLine(pix1, 20, y1, 400, y1, 5, L_SCAN_BOTH,
NULL, NULL, &minave, &maxave);
if (!ret) {
numaAddNumber(na1, (l_int32)minave);
numaAddNumber(na3, (l_int32)maxave);
if (rp->display)
fprintf(stderr, "y = %d: minave = %d, maxave = %d\n",
y1, (l_int32)minave, (l_int32)maxave);
}
}
/* Find averages along about 120 vertical lines. We've rotated
* the image by 90 degrees, so the results should be nearly
* identical to the first set. Also generate a single-sided
* scan (L_SCAN_NEGATIVE) for comparison with the double-sided scans. */
pix2 = pixRotateOrth(pix1, 3);
pixDisplayWithTitle(pix2, 600, 600, NULL, rp->display);
na2 = numaCreate(0);
na4 = numaCreate(0);
na5 = numaCreate(0);
for (x1 = 40; x1 < 575; x1 += 5) {
ret = pixMinMaxNearLine(pix2, x1, 20, x1, 400, 5, L_SCAN_BOTH,
NULL, NULL, &minave, &maxave);
pixMinMaxNearLine(pix2, x1, 20, x1, 400, 5, L_SCAN_NEGATIVE,
NULL, NULL, &minave2, NULL);
if (!ret) {
numaAddNumber(na2, (l_int32)minave);
numaAddNumber(na4, (l_int32)maxave);
numaAddNumber(na5, (l_int32)minave2);
if (rp->display)
fprintf(stderr,
"x = %d: minave = %d, minave2 = %d, maxave = %d\n",
x1, (l_int32)minave, (l_int32)minave2, (l_int32)maxave);
}
}
numaSimilar(na1, na2, 3.0, &similar); /* should be TRUE */
regTestCompareValues(rp, similar, 1, 0); /* 0 */
numaSimilar(na3, na4, 1.0, &similar); /* should be TRUE */
regTestCompareValues(rp, similar, 1, 0); /* 1 */
numaWrite("/tmp/lept/regout/na1.na", na1);
numaWrite("/tmp/lept/regout/na2.na", na2);
numaWrite("/tmp/lept/regout/na3.na", na3);
numaWrite("/tmp/lept/regout/na4.na", na4);
numaWrite("/tmp/lept/regout/na5.na", na5);
regTestCheckFile(rp, "/tmp/lept/regout/na1.na"); /* 2 */
regTestCheckFile(rp, "/tmp/lept/regout/na2.na"); /* 3 */
regTestCheckFile(rp, "/tmp/lept/regout/na3.na"); /* 4 */
regTestCheckFile(rp, "/tmp/lept/regout/na4.na"); /* 5 */
regTestCheckFile(rp, "/tmp/lept/regout/na5.na"); /* 6 */
/* Plot the average minimums for the 3 cases */
naa = numaaCreate(3);
numaaAddNuma(naa, na1, L_INSERT); /* portrait, double-sided */
numaaAddNuma(naa, na2, L_INSERT); /* landscape, double-sided */
numaaAddNuma(naa, na5, L_INSERT); /* landscape, single-sided */
gplotSimpleN(naa, GPLOT_PNG, "/tmp/lept/regout/nearline",
"Average minimums along lines");
#if 0
#ifndef _WIN32
sleep(1);
#else
Sleep(1000);
#endif /* _WIN32 */
#endif
pix3 = pixRead("/tmp/lept/regout/nearline.png");
regTestWritePixAndCheck(rp, pix3, IFF_PNG); /* 7 */
pixDisplayWithTitle(pix3, 100, 100, NULL, rp->display);
if (rp->display) {
n = numaGetCount(na3);
for (i = 0; i < n; i++) {
numaGetIValue(na1, i, &val1);
numaGetIValue(na2, i, &val2);
numaGetIValue(na3, i, &val3);
numaGetIValue(na4, i, &val4);
fprintf(stderr, "val1 = %d, val2 = %d, diff = %d; "
"val3 = %d, val4 = %d, diff = %d\n",
val1, val2, L_ABS(val1 - val2),
val3, val4, L_ABS(val3 - val4));
}
}
numaaDestroy(&naa);
numaDestroy(&na3);
numaDestroy(&na4);
/* Plot minima along a single line, with different distances */
pixMinMaxNearLine(pix1, 20, 200, 400, 200, 2, L_SCAN_BOTH,
&na1, NULL, NULL, NULL);
pixMinMaxNearLine(pix1, 20, 200, 400, 200, 5, L_SCAN_BOTH,
&na2, NULL, NULL, NULL);
pixMinMaxNearLine(pix1, 20, 200, 400, 200, 15, L_SCAN_BOTH,
&na3, NULL, NULL, NULL);
numaWrite("/tmp/lept/regout/na6.na", na1);
regTestCheckFile(rp, "/tmp/lept/regout/na6.na"); /* 8 */
n = numaGetCount(na1);
fract = 100.0 / n;
na4 = numaTransform(na1, 0.0, fract);
na5 = numaTransform(na2, 0.0, fract);
na6 = numaTransform(na3, 0.0, fract);
numaDestroy(&na1);
numaDestroy(&na2);
numaDestroy(&na3);
na1 = numaUniformSampling(na4, 100);
na2 = numaUniformSampling(na5, 100);
na3 = numaUniformSampling(na6, 100);
naa = numaaCreate(3);
numaaAddNuma(naa, na1, L_INSERT);
numaaAddNuma(naa, na2, L_INSERT);
numaaAddNuma(naa, na3, L_INSERT);
gplotSimpleN(naa, GPLOT_PNG, "/tmp/lept/regout/nearline2",
"Min along line");
pix4 = pixRead("/tmp/lept/regout/nearline2.png");
regTestWritePixAndCheck(rp, pix4, IFF_PNG); /* 9 */
pixDisplayWithTitle(pix4, 800, 100, NULL, rp->display);
numaaDestroy(&naa);
numaDestroy(&na4);
numaDestroy(&na5);
numaDestroy(&na6);
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix3);
pixDestroy(&pix4);
pixDestroy(&pixs);
return regTestCleanup(rp);
}
/*
* Test both vertical and horizontal projections on this image.
* We rotate the image by 90 degrees for the horizontal projection,
* so that the two results should be identical.
*/
void
TestProjection(L_REGPARAMS *rp,
PIX *pixs)
{
l_int32 outline;
NUMA *na1, *na2, *na3, *na4, *na5, *na6;
NUMA *na7, *na8, *na9, *na10, *na11, *na12;
PIX *pixd, *pixt;
PIXA *pixa;
outline = 2;
pixColumnStats(pixs, &na1, &na3, &na5, &na7, &na9, &na11);
pixd = pixRotateOrth(pixs, 1);
pixRowStats(pixd, &na2, &na4, &na6, &na8, &na10, &na12);
/* The png plot files are written to "/tmp/proj.0.png", etc.
* These temp files are overwritten each time this
* function is called. */
gplotSimple1(na1, GPLOT_PNG, "/tmp/proj.0", "Mean value");
gplotSimple1(na2, GPLOT_PNG, "/tmp/proj.1", "Mean value");
gplotSimple1(na3, GPLOT_PNG, "/tmp/proj.2", "Median value");
gplotSimple1(na4, GPLOT_PNG, "/tmp/proj.3", "Median value");
gplotSimple1(na5, GPLOT_PNG, "/tmp/proj.4", "Mode value");
gplotSimple1(na6, GPLOT_PNG, "/tmp/proj.5", "Mode value");
gplotSimple1(na7, GPLOT_PNG, "/tmp/proj.6", "Mode count");
gplotSimple1(na8, GPLOT_PNG, "/tmp/proj.7", "Mode count");
gplotSimple1(na9, GPLOT_PNG, "/tmp/proj.8", "Variance");
gplotSimple1(na10, GPLOT_PNG, "/tmp/proj.9", "Variance");
gplotSimple1(na11, GPLOT_PNG, "/tmp/proj.10", "Square Root Variance");
gplotSimple1(na12, GPLOT_PNG, "/tmp/proj.11", "Square Root Variance");
#ifndef _WIN32
sleep(1);
#else
Sleep(1000);
#endif /* _WIN32 */
/* Each of the 12 plot files is read into a pix and then:
* (1) saved into a pixa for display
* (2) saved as a golden file (generate stage) or compared
* to the existing golden file (testing stage) */
pixa = pixaCreate(13);
pixSaveTiledOutline(pixs, pixa, 1, 1, 30, outline, 32);
pixt = pixRead("/tmp/proj.0.png");
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 0 */
pixSaveTiledOutline(pixt, pixa, 1, 1, 30, outline, 32);
pixDestroy(&pixt);
pixt = pixRead("/tmp/proj.1.png");
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 1 */
pixSaveTiledOutline(pixt, pixa, 1, 0, 30, outline, 32);
pixDestroy(&pixt);
pixt = pixRead("/tmp/proj.2.png");
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 2 */
pixSaveTiledOutline(pixt, pixa, 1, 1, 30, outline, 32);
pixDestroy(&pixt);
pixt = pixRead("/tmp/proj.3.png");
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 3 */
pixSaveTiledOutline(pixt, pixa, 1, 0, 30, outline, 32);
pixDestroy(&pixt);
pixt = pixRead("/tmp/proj.4.png");
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 4 */
pixSaveTiledOutline(pixt, pixa, 1, 1, 30, outline, 32);
pixDestroy(&pixt);
pixt = pixRead("/tmp/proj.5.png");
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 5 */
pixSaveTiledOutline(pixt, pixa, 1, 0, 30, outline, 32);
pixDestroy(&pixt);
pixt = pixRead("/tmp/proj.6.png");
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 6 */
pixSaveTiledOutline(pixt, pixa, 1, 1, 30, outline, 32);
pixDestroy(&pixt);
pixt = pixRead("/tmp/proj.7.png");
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 7 */
pixSaveTiledOutline(pixt, pixa, 1, 0, 30, outline, 32);
pixDestroy(&pixt);
pixt = pixRead("/tmp/proj.8.png");
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 8 */
pixSaveTiledOutline(pixt, pixa, 1, 1, 30, outline, 32);
pixDestroy(&pixt);
pixt = pixRead("/tmp/proj.9.png");
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 9 */
pixSaveTiledOutline(pixt, pixa, 1, 0, 30, outline, 32);
pixDestroy(&pixt);
pixt = pixRead("/tmp/proj.10.png");
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 10 */
pixSaveTiledOutline(pixt, pixa, 1, 1, 30, outline, 32);
pixDestroy(&pixt);
pixt = pixRead("/tmp/proj.11.png");
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 11 */
pixSaveTiledOutline(pixt, pixa, 1, 0, 30, outline, 32);
pixDestroy(&pixt);
/* The pixa is composited into a pix and 'goldened'/tested */
pixt = pixaDisplay(pixa, 0, 0);
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 12 */
pixDisplayWithTitle(pixt, 100, 0, NULL, rp->display);
pixDestroy(&pixt);
pixaDestroy(&pixa);
/* The 12 plot files are tested in pairs for identity */
regTestCompareFiles(rp, 0, 1);
regTestCompareFiles(rp, 2, 3);
regTestCompareFiles(rp, 4, 5);
regTestCompareFiles(rp, 6, 7);
regTestCompareFiles(rp, 8, 9);
regTestCompareFiles(rp, 10, 11);
pixDestroy(&pixd);
numaDestroy(&na1);
numaDestroy(&na2);
numaDestroy(&na3);
numaDestroy(&na4);
numaDestroy(&na5);
numaDestroy(&na6);
numaDestroy(&na7);
numaDestroy(&na8);
numaDestroy(&na9);
numaDestroy(&na10);
numaDestroy(&na11);
numaDestroy(&na12);
return;
}
int main(int argc,
char **argv)
{
FPIX *fpix1, *fpix2, *fpix3, *fpix4;
PIX *pix1, *pix2, *pix3, *pix4, *pix5, *pix6, *pix7, *pix8;
L_REGPARAMS *rp;
if (regTestSetup(argc, argv, &rp))
return 1;
/* Test orthogonal rotations */
pix1 = pixRead("marge.jpg");
pix2 = pixConvertTo8(pix1, 0);
fpix1 = pixConvertToFPix(pix2, 1);
fpix2 = fpixRotateOrth(fpix1, 1);
pix3 = fpixConvertToPix(fpix2, 8, L_CLIP_TO_ZERO, 0);
pix4 = pixRotateOrth(pix2, 1);
regTestComparePix(rp, pix3, pix4); /* 0 */
pixDisplayWithTitle(pix3, 100, 100, NULL, rp->display);
fpix3 = fpixRotateOrth(fpix1, 2);
pix5 = fpixConvertToPix(fpix3, 8, L_CLIP_TO_ZERO, 0);
pix6 = pixRotateOrth(pix2, 2);
regTestComparePix(rp, pix5, pix6); /* 1 */
pixDisplayWithTitle(pix5, 560, 100, NULL, rp->display);
fpix4 = fpixRotateOrth(fpix1, 3);
pix7 = fpixConvertToPix(fpix4, 8, L_CLIP_TO_ZERO, 0);
pix8 = pixRotateOrth(pix2, 3);
regTestComparePix(rp, pix7, pix8); /* 2 */
pixDisplayWithTitle(pix7, 1170, 100, NULL, rp->display);
pixDisplayWithTitle(pix2, 560, 580, NULL, rp->display);
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix3);
pixDestroy(&pix4);
pixDestroy(&pix5);
pixDestroy(&pix6);
pixDestroy(&pix7);
pixDestroy(&pix8);
fpixDestroy(&fpix1);
fpixDestroy(&fpix2);
fpixDestroy(&fpix3);
fpixDestroy(&fpix4);
/* Test adding various borders */
pix1 = pixRead("marge.jpg");
pix2 = pixConvertTo8(pix1, 0);
fpix1 = pixConvertToFPix(pix2, 1);
fpix2 = fpixAddMirroredBorder(fpix1, 21, 21, 25, 25);
pix3 = fpixConvertToPix(fpix2, 8, L_CLIP_TO_ZERO, 0);
pix4 = pixAddMirroredBorder(pix2, 21, 21, 25, 25);
regTestComparePix(rp, pix3, pix4); /* 3 */
pixDisplayWithTitle(pix3, 100, 1000, NULL, rp->display);
fpix3 = fpixAddContinuedBorder(fpix1, 21, 21, 25, 25);
pix5 = fpixConvertToPix(fpix3, 8, L_CLIP_TO_ZERO, 0);
pix6 = pixAddContinuedBorder(pix2, 21, 21, 25, 25);
regTestComparePix(rp, pix5, pix6); /* 4 */
pixDisplayWithTitle(pix5, 750, 1000, NULL, rp->display);
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix3);
pixDestroy(&pix4);
pixDestroy(&pix5);
pixDestroy(&pix6);
fpixDestroy(&fpix1);
fpixDestroy(&fpix2);
fpixDestroy(&fpix3);
return regTestCleanup(rp);
}
int main(int argc,
char **argv)
{
l_int32 w, h, ystart, yend, y, ymax, ymid, i, window, sum1, sum2, rankx;
l_uint32 uval;
l_float32 ave, rankval, maxvar, variance, norm, conf, angle, radangle;
NUMA *na1;
PIX *pix1, *pix2, *pix3, *pix4, *pix5, *pix6, *pix7;
PIXA *pixa;
static char mainName[] = "findbinding";
if (argc != 1)
return ERROR_INT(" Syntax: findbinding", mainName, 1);
lept_mkdir("lept/binding");
pixa = pixaCreate(0);
pix1 = pixRead("binding-example.45.jpg");
pix2 = pixConvertTo8(pix1, 0);
/* Find the skew angle */
pix3 = pixConvertTo1(pix2, 150);
pixFindSkewSweepAndSearch(pix3, &angle, &conf, 2, 2, 7.0, 1.0, 0.01);
fprintf(stderr, "angle = %f, conf = %f\n", angle, conf);
/* Deskew, bringing in black pixels at the edges */
if (L_ABS(angle) < 0.1 || conf < 1.5) {
pix4 = pixClone(pix2);
} else {
radangle = 3.1416 * angle / 180.0;
pix4 = pixRotate(pix2, radangle, L_ROTATE_AREA_MAP,
L_BRING_IN_BLACK, 0, 0);
}
/* Rotate 90 degrees to make binding horizontal */
pix5 = pixRotateOrth(pix4, 1);
/* Sort pixels in each row by their gray value.
* Dark pixels on the left, light ones on the right. */
pix6 = pixRankRowTransform(pix5);
pixDisplay(pix5, 0, 0);
pixDisplay(pix6, 550, 0);
pixaAddPix(pixa, pix4, L_COPY);
pixaAddPix(pixa, pix5, L_COPY);
pixaAddPix(pixa, pix6, L_COPY);
/* Make an a priori estimate of the y-interval within which the
* binding will be found. The search will be done in this interval. */
pixGetDimensions(pix6, &w, &h, NULL);
ystart = 0.25 * h;
yend = 0.75 * h;
/* Choose a very light rank value; close to white, which
* corresponds to a column in pix6 near the right side. */
rankval = 0.98;
rankx = (l_int32)(w * rankval);
/* Investigate variance in a small window (vertical, size = 5)
* of the pixels in that column. These are the %rankval
* pixels in each raster of pix6. Find the y-location of
* maximum variance. */
window = 5;
norm = 1.0 / window;
maxvar = 0.0;
na1 = numaCreate(0);
numaSetParameters(na1, ystart, 1);
for (y = ystart; y <= yend; y++) {
sum1 = sum2 = 0;
for (i = 0; i < window; i++) {
pixGetPixel(pix6, rankx, y + i, &uval);
sum1 += uval;
sum2 += uval * uval;
}
ave = norm * sum1;
variance = norm * sum2 - ave * ave;
numaAddNumber(na1, variance);
ymid = y + window / 2;
if (variance > maxvar) {
maxvar = variance;
ymax = ymid;
}
}
/* Plot the windowed variance as a function of the y-value
* of the window location */
fprintf(stderr, "maxvar = %f, ymax = %d\n", maxvar, ymax);
gplotSimple1(na1, GPLOT_PNG, "/tmp/lept/binding/root", NULL);
pix7 = pixRead("/tmp/lept/binding/root.png");
pixDisplay(pix7, 0, 800);
pixaAddPix(pixa, pix7, L_COPY);
/* Superimpose the variance plot over the image.
* The variance peak is at the binding. */
pixRenderPlotFromNumaGen(&pix5, na1, L_VERTICAL_LINE, 3, w - 120, 100, 1,
0x0000ff00);
pixDisplay(pix5, 1050, 0);
pixaAddPix(pixa, pix5, L_COPY);
/* Bundle the results up in a pdf */
fprintf(stderr, "Writing pdf output file: /tmp/lept/binding/binding.pdf\n");
pixaConvertToPdf(pixa, 45, 1.0, 0, 0, "Binding locator",
"/tmp/lept/binding/binding.pdf");
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix3);
pixDestroy(&pix4);
pixDestroy(&pix5);
pixDestroy(&pix6);
pixDestroy(&pix7);
pixaDestroy(&pixa);
numaDestroy(&na1);
return 0;
}
/*!
* \brief pixOrientCorrect()
*
* \param[in] pixs 1 bpp, deskewed, English text, 150 - 300 ppi
* \param[in] minupconf minimum value for which a decision can be made
* \param[in] minratio minimum conf ratio required for a decision
* \param[out] pupconf [optional] ; use NULL to skip
* \param[out] pleftconf [optional] ; use NULL to skip
* \param[out] protation [optional] ; use NULL to skip
* \param[in] debug 1 for debug output; 0 otherwise
* \return pixd may be rotated by 90, 180 or 270; null on error
*
* <pre>
* Notes:
* (1) Simple top-level function to detect if Roman text is in
* reading orientation, and to rotate the image accordingly if not.
* (2) Returns a copy if no rotation is needed.
* (3) See notes for pixOrientDetect() and pixOrientDecision().
* Use 0.0 for default values for %minupconf and %minratio
* (4) Optional output of intermediate confidence results and
* the rotation performed on pixs.
* </pre>
*/
PIX *
pixOrientCorrect(PIX *pixs,
l_float32 minupconf,
l_float32 minratio,
l_float32 *pupconf,
l_float32 *pleftconf,
l_int32 *protation,
l_int32 debug)
{
l_int32 orient;
l_float32 upconf, leftconf;
PIX *pix1;
PROCNAME("pixOrientCorrect");
if (!pixs || pixGetDepth(pixs) != 1)
return (PIX *)ERROR_PTR("pixs undefined or not 1 bpp", procName, NULL);
lept_mkdir("lept/orient");
/* Get confidences for orientation */
pixUpDownDetectDwa(pixs, &upconf, 0, debug);
pix1 = pixRotate90(pixs, 1);
pixUpDownDetectDwa(pix1, &leftconf, 0, debug);
pixDestroy(&pix1);
if (pupconf) *pupconf = upconf;
if (pleftconf) *pleftconf = leftconf;
/* Decide what to do */
makeOrientDecision(upconf,leftconf, minupconf, minratio, &orient, debug);
/* Do it */
switch (orient)
{
case L_TEXT_ORIENT_UNKNOWN:
L_INFO("text orientation not determined; no rotation\n", procName);
if (protation) *protation = 0;
return pixCopy(NULL, pixs);
break;
case L_TEXT_ORIENT_UP:
L_INFO("text is oriented up; no rotation\n", procName);
if (protation) *protation = 0;
return pixCopy(NULL, pixs);
break;
case L_TEXT_ORIENT_LEFT:
L_INFO("landscape; text oriented left; 90 cw rotation\n", procName);
if (protation) *protation = 90;
return pixRotateOrth(pixs, 1);
break;
case L_TEXT_ORIENT_DOWN:
L_INFO("text oriented down; 180 cw rotation\n", procName);
if (protation) *protation = 180;
return pixRotateOrth(pixs, 2);
break;
case L_TEXT_ORIENT_RIGHT:
L_INFO("landscape; text oriented right; 270 cw rotation\n", procName);
if (protation) *protation = 270;
return pixRotateOrth(pixs, 3);
break;
default:
L_ERROR("invalid orient flag!\n", procName);
return pixCopy(NULL, pixs);
}
}
/*!
* pixFindNormalizedSquareSum()
*
* Input: pixs
* &hratio (<optional return> ratio of normalized horiz square sum
* to result if the pixel distribution were uniform)
* &vratio (<optional return> ratio of normalized vert square sum
* to result if the pixel distribution were uniform)
* &fract (<optional return> ratio of fg pixels to total pixels)
* Return: 0 if OK, 1 on error or if there are no fg pixels
*
* Notes:
* (1) Let the image have h scanlines and N fg pixels.
* If the pixels were uniformly distributed on scanlines,
* the sum of squares of fg pixels on each scanline would be
* h * (N / h)^2. However, if the pixels are not uniformly
* distributed (e.g., for text), the sum of squares of fg
* pixels will be larger. We return in hratio and vratio the
* ratio of these two values.
* (2) If there are no fg pixels, hratio and vratio are returned as 0.0.
*/
l_int32
pixFindNormalizedSquareSum(PIX *pixs,
l_float32 *phratio,
l_float32 *pvratio,
l_float32 *pfract)
{
l_int32 i, w, h, empty;
l_float32 sum, sumsq, uniform, val;
NUMA *na;
PIX *pixt;
PROCNAME("pixFindNormalizedSquareSum");
if (!pixs || pixGetDepth(pixs) != 1)
return ERROR_INT("pixs not defined or not 1 bpp", procName, 1);
pixGetDimensions(pixs, &w, &h, NULL);
if (!phratio && !pvratio)
return ERROR_INT("nothing to do", procName, 1);
if (phratio) *phratio = 0.0;
if (pvratio) *pvratio = 0.0;
empty = 0;
if (phratio) {
na = pixCountPixelsByRow(pixs, NULL);
numaGetSum(na, &sum); /* fg pixels */
if (pfract) *pfract = sum / (l_float32)(w * h);
if (sum != 0.0) {
uniform = sum * sum / h; /* h*(sum / h)^2 */
sumsq = 0.0;
for (i = 0; i < h; i++) {
numaGetFValue(na, i, &val);
sumsq += val * val;
}
*phratio = sumsq / uniform;
} else {
empty = 1;
}
numaDestroy(&na);
}
if (pvratio) {
if (empty == 1) return 1;
pixt = pixRotateOrth(pixs, 1);
na = pixCountPixelsByRow(pixt, NULL);
numaGetSum(na, &sum);
if (pfract) *pfract = sum / (l_float32)(w * h);
if (sum != 0.0) {
uniform = sum * sum / w;
sumsq = 0.0;
for (i = 0; i < w; i++) {
numaGetFValue(na, i, &val);
sumsq += val * val;
}
*pvratio = sumsq / uniform;
} else {
empty = 1;
}
pixDestroy(&pixt);
numaDestroy(&na);
}
return empty;
}
main(int argc,
char **argv)
{
l_int32 i, j, w, h;
l_int32 minsum[5] = { 2, 40, 50, 50, 70};
l_int32 skipdist[5] = { 5, 5, 10, 10, 30};
l_int32 delta[5] = { 2, 10, 10, 25, 40};
l_int32 maxbg[5] = {10, 15, 10, 20, 40};
BOX *box1, *box2, *box3, *box4;
BOXA *boxa;
PIX *pixs, *pixc, *pixt, *pixd, *pix32;
PIXA *pixas, *pixad;
L_REGPARAMS *rp;
if (regTestSetup(argc, argv, &rp))
return 1;
/* Generate and save 1 bpp masks */
pixas = pixaCreate(0);
pixs = pixCreate(300, 250, 1);
pixSetAll(pixs);
box1 = boxCreate(50, 0, 140, 25);
box2 = boxCreate(120, 100, 100, 25);
box3 = boxCreate(75, 170, 80, 20);
box4 = boxCreate(150, 80, 25, 70);
pixClearInRect(pixs, box1);
pixaAddPix(pixas, pixs, L_COPY);
pixt = pixRotateOrth(pixs, 1);
pixaAddPix(pixas, pixt, L_INSERT);
pixClearInRect(pixs, box2);
pixaAddPix(pixas, pixs, L_COPY);
pixt = pixRotateOrth(pixs, 1);
pixaAddPix(pixas, pixt, L_INSERT);
pixClearInRect(pixs, box3);
pixaAddPix(pixas, pixs, L_COPY);
pixt = pixRotateOrth(pixs, 1);
pixaAddPix(pixas, pixt, L_INSERT);
pixClearInRect(pixs, box4);
pixaAddPix(pixas, pixs, L_COPY);
pixt = pixRotateOrth(pixs, 1);
pixaAddPix(pixas, pixt, L_INSERT);
boxDestroy(&box1);
boxDestroy(&box2);
boxDestroy(&box3);
boxDestroy(&box4);
pixDestroy(&pixs);
/* Do 5 splittings on each of the 8 masks */
pixad = pixaCreate(0);
for (j = 0; j < 8; j++) {
pixt = pixaGetPix(pixas, j, L_CLONE);
pixGetDimensions(pixt, &w, &h, NULL);
pix32 = pixCreate(w, h, 32);
pixSetAll(pix32);
pixPaintThroughMask(pix32, pixt, 0, 0, 0xc0c0c000);
pixSaveTiled(pix32, pixad, 1, 1, 30, 32);
for (i = 0; i < 5; i++) {
pixc = pixCopy(NULL, pix32);
boxa = pixSplitComponentIntoBoxa(pixt, NULL, minsum[i], skipdist[i],
delta[i], maxbg[i], 0, 1);
/* boxaWriteStream(stderr, boxa); */
pixd = pixBlendBoxaRandom(pixc, boxa, 0.4);
pixRenderBoxaArb(pixd, boxa, 2, 255, 0, 0);
pixSaveTiled(pixd, pixad, 1, 0, 30, 32);
pixDestroy(&pixd);
pixDestroy(&pixc);
boxaDestroy(&boxa);
}
pixDestroy(&pixt);
pixDestroy(&pix32);
}
/* Display results */
pixd = pixaDisplay(pixad, 0, 0);
regTestWritePixAndCheck(rp, pixd, IFF_PNG); /* 0 */
pixDisplayWithTitle(pixd, 100, 100, NULL, rp->display);
pixDestroy(&pixd);
pixaDestroy(&pixad);
/* Put the 8 masks all together, and split 5 ways */
pixad = pixaCreate(0);
pixs = pixaDisplayOnLattice(pixas, 325, 325);
pixGetDimensions(pixs, &w, &h, NULL);
pix32 = pixCreate(w, h, 32);
pixSetAll(pix32);
pixPaintThroughMask(pix32, pixs, 0, 0, 0xc0c0c000);
pixSaveTiled(pix32, pixad, 1, 1, 30, 32);
for (i = 0; i < 5; i++) {
pixc = pixCopy(NULL, pix32);
boxa = pixSplitIntoBoxa(pixs, minsum[i], skipdist[i],
delta[i], maxbg[i], 0, 1);
/* boxaWriteStream(stderr, boxa); */
pixd = pixBlendBoxaRandom(pixc, boxa, 0.4);
pixRenderBoxaArb(pixd, boxa, 2, 255, 0, 0);
pixSaveTiled(pixd, pixad, 1, 0, 30, 32);
pixDestroy(&pixd);
pixDestroy(&pixc);
boxaDestroy(&boxa);
}
pixDestroy(&pix32);
pixDestroy(&pixs);
/* Display results */
pixd = pixaDisplay(pixad, 0, 0);
regTestWritePixAndCheck(rp, pixd, IFF_PNG); /* 1 */
pixDisplayWithTitle(pixd, 600, 100, NULL, rp->display);
pixDestroy(&pixd);
pixaDestroy(&pixad);
pixaDestroy(&pixas);
regTestCleanup(rp);
return 0;
}
//---------------------------------------------------------------------------
//Поиск основной надписи в указанном файле
//findstr - поля для поиска
//border - Толщина краёв которая будет очищена в найденных PIX
//trustratio - коэф.надёжности
//tolerance - предельное отклонение
//outTrustRatio - полученное значение с чем сравнивался trustratio
//расширеное описание параметров см.boxaGetLinkedBox
//---------------------------------------------------------------------------
l_int32 LeptonicaProccesingDrawing::findFrameInFile(string findstr, l_int32 border, l_float32 trustratio, l_int32 tolerance, l_float32 &outTrustRatio)
{
BOXA *frame;
BOX *box;
PIX *pixC, *pixR, *pixRbig, *pixTemp;
l_int32 result;
l_int32 fRes;
l_int32 angOtho;
l_int32 scale;
LEP_LOG("enter");
SetNULL(1, (void**)&frame);
result = 1;
findFrame.setTolerance(tolerance);
findFrame.setTrustRatio(trustratio);
try
{
LEP_STR_THROW(!prepareFile.isLastProcessingOK(), "Файл изображения не инициализирован");
//Разбор строки с описанием полей
ParseFieldsStr(findstr, Fields);
LEP_STR_THROW(Fields.size() == 0, "Поля не найдены");
//Поиск рамки для каждого изображения
pixC = prepareFile.pixRotate000; frame = findFrame.findFrame(pixC, Fields); angOtho = 0;
if (!frame) { pixC = prepareFile.pixRotate090; frame = findFrame.findFrame(pixC, Fields); angOtho = 90; }
if (!frame) { pixC = prepareFile.pixRotate180; frame = findFrame.findFrame(pixC, Fields); angOtho = 180;}
if (!frame) { pixC = prepareFile.pixRotate270; frame = findFrame.findFrame(pixC, Fields); angOtho = 270;}
if (frame)
{
for (int i = 0; i < frame->n; i++)
{
//пересчёт координат из точки отсчёта обрезанных скоректированных изображений
//в точку отсчёта уменьшенного и повернутого изначального изображения
//иногда реальная ширина изображения может быть меньше ширины эталона wSmallPix (hSmallPix)
//(wSmallPix < pixC->w) ? wSmallPix : pixC->w, удалить
//(hSmallPix < pixC->h) ? hSmallPix : pixC->h, удалить
box = prepareFile.boxReCalcPosition(
frame->box[i],
pixC->w,
pixC->h,
angOtho);
if ((prepareFile.pix->xres == 600) && (prepareFile.pix->yres == 600)) scale = 2; else scale = 1;
pixTemp = pixGetFromBoxAndAngle(prepareFile.pix, box, -prepareFile.angle, scale);
pixRbig = pixRotateOrth(pixTemp, angOtho / 90);
boxDestroy(&box);
pixDestroy(&pixTemp);
pixR = pixClipRectangle(pixC, frame->box[i], NULL);
//pixDisplay(pixRbig, 800,800);
if (pixRbig)
{
Fields[i].FieldPIXbig = pixRemoveBorder(pixRbig, border);
pixDestroy(&pixRbig);
} else LEP_LOG("Ошибка получения поля (big)");
if (pixR)
{
Fields[i].FieldPIX = pixRemoveBorder(pixR, border);
pixDestroy(&pixR);
} else LEP_LOG("Ошибка получения поля");
}
result = 0;
}
}catch (string error)
{
LEP_ERROR(error);
};
boxaDestroy(&frame);
outTrustRatio = findFrame.getLastOutTrustRatio();
LEP_LOG("exit");
return result;
/*PIXA *pixa2 = pixClipRectangles(clearPix, ramka);
PIX *pix2 = pixaDisplay(pixa2, 11500, 8600);
pix2 = pixMorphSequence(pix2, "d5.5", 0);
pixWrite("c:\\pix2.tif", pix2, IFF_TIFF_ZIP);
pixDestroy(&pix2); */
//pixDisplay(GetPixFromSTR("Наименование"), 800,800);
//pixDisplay(GetPixFromSTR("Обозначение"), 800,800);
//pixDisplay(GetPixFromSTR("None4"), 800,800);
//pixWrite("c:\\2.tif", pix, IFF_TIFF_ZIP);
}
l_int32 main(int argc,
char **argv)
{
l_float32 dist, distr, distg, distb;
NUMA *na1, *na2;
PIX *pix1, *pix2, *pix3, *pix4, *pix5, *pix6;
L_REGPARAMS *rp;
if (regTestSetup(argc, argv, &rp))
return 1;
/* Test earthmover distance: extreme DC */
fprintf(stderr, "Test earthmover distance\n");
na1 = numaMakeConstant(0, 201);
na2 = numaMakeConstant(0, 201);
numaSetValue(na1, 0, 100);
numaSetValue(na2, 200, 100);
numaEarthMoverDistance(na1, na2, &dist);
regTestCompareValues(rp, 200.0, dist, 0.0001); /* 0 */
numaDestroy(&na1);
numaDestroy(&na2);
/* Test connected component labelling */
fprintf(stderr, "Test c.c. labelling\n");
pix1 = pixRead("feyn-fract.tif");
pix2 = pixConnCompTransform(pix1, 8, 8);
regTestWritePixAndCheck(rp, pix2, IFF_PNG); /* 1 */
pixDisplayWithTitle(pix2, 0, 0, NULL, rp->display);
pix3 = pixConnCompTransform(pix1, 8, 16);
pix4 = pixConvert16To8(pix3, L_LS_BYTE);
regTestCompareSimilarPix(rp, pix2, pix4, 3, 0.001, 0); /* 2 */
pixDestroy(&pix2);
pixDestroy(&pix3);
pixDestroy(&pix4);
/* Test connected component area labelling */
fprintf(stderr, "Test c.c. area labelling\n");
pix2 = pixConnCompAreaTransform(pix1, 8);
pix3 = pixConvert16To8(pix2, L_CLIP_TO_255);
regTestWritePixAndCheck(rp, pix3, IFF_PNG); /* 3 */
pixDisplayWithTitle(pix3, 0, 350, NULL, rp->display);
pixMultConstantGray(pix2, 0.3);
pix4 = pixConvert16To8(pix2, L_LS_BYTE);
regTestWritePixAndCheck(rp, pix4, IFF_PNG); /* 4 */
pixDisplayWithTitle(pix4, 0, 700, NULL, rp->display);
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix3);
pixDestroy(&pix4);
/* Test color transform: 4-fold symmetry */
fprintf(stderr, "Test color transform: 4-fold symmetry\n");
pix1 = pixRead("form1.tif");
pix2 = pixRotateOrth(pix1, 1);
pix3 = pixRotateOrth(pix1, 2);
pix4 = pixRotateOrth(pix1, 3);
pix5 = pixLocToColorTransform(pix1);
regTestWritePixAndCheck(rp, pix5, IFF_PNG); /* 5 */
pix6 = pixLocToColorTransform(pix2);
regTestWritePixAndCheck(rp, pix6, IFF_PNG); /* 6 */
FindEMD(pix5, pix6, &distr, &distg, &distb);
regTestCompareValues(rp, 0.12, distr, 0.01); /* 7 */
regTestCompareValues(rp, 0.00, distg, 0.01); /* 8 */
regTestCompareValues(rp, 0.00, distb, 0.01); /* 9 */
fprintf(stderr, "90 deg rotation: dist (r,g,b) = (%5.2f, %5.2f, %5.2f)\n",
distr, distg, distb);
pixDestroy(&pix6);
pix6 = pixLocToColorTransform(pix3);
regTestWritePixAndCheck(rp, pix6, IFF_PNG); /* 10 */
FindEMD(pix5, pix6, &distr, &distg, &distb);
regTestCompareValues(rp, 0.12, distr, 0.01); /* 11 */
regTestCompareValues(rp, 0.09, distg, 0.01); /* 12 */
regTestCompareValues(rp, 0.00, distb, 0.01); /* 13 */
fprintf(stderr, "180 deg rotation: dist (r,g,b) = (%5.2f, %5.2f, %5.2f)\n",
distr, distg, distb);
pixDestroy(&pix6);
pix6 = pixLocToColorTransform(pix4);
regTestWritePixAndCheck(rp, pix6, IFF_PNG); /* 14 */
FindEMD(pix5, pix6, &distr, &distg, &distb);
regTestCompareValues(rp, 0.00, distr, 0.01); /* 15 */
regTestCompareValues(rp, 0.09, distg, 0.01); /* 16 */
regTestCompareValues(rp, 0.00, distb, 0.01); /* 17 */
fprintf(stderr, "270 deg rotation: dist (r,g,b) = (%5.2f, %5.2f, %5.2f)\n",
distr, distg, distb);
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix3);
pixDestroy(&pix4);
pixDestroy(&pix5);
pixDestroy(&pix6);
/* Test color transform: same form with translation */
fprintf(stderr, "Test color transform with translation\n");
pix1 = pixRead("form1.tif");
pix2 = pixLocToColorTransform(pix1);
pixDisplayWithTitle(pix2, 0, 0, NULL, rp->display);
pixTranslate(pix1, pix1, 10, 10, L_BRING_IN_WHITE);
pix3 = pixLocToColorTransform(pix1);
regTestWritePixAndCheck(rp, pix3, IFF_PNG); /* 18 */
pixDisplayWithTitle(pix3, 470, 0, NULL, rp->display);
FindEMD(pix2, pix3, &distr, &distg, &distb);
regTestCompareValues(rp, 1.76, distr, 0.01); /* 19 */
regTestCompareValues(rp, 2.65, distg, 0.01); /* 20 */
regTestCompareValues(rp, 2.03, distb, 0.01); /* 21 */
fprintf(stderr, "Translation dist (r,g,b) = (%5.2f, %5.2f, %5.2f)\n",
distr, distg, distb);
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix3);
/* Test color transform: same form with small rotation */
fprintf(stderr, "Test color transform with small rotation\n");
pix1 = pixRead("form1.tif");
pix2 = pixLocToColorTransform(pix1);
pixRotateShearCenterIP(pix1, 0.1, L_BRING_IN_WHITE);
pix3 = pixLocToColorTransform(pix1);
regTestWritePixAndCheck(rp, pix3, IFF_PNG); /* 22 */
pixDisplayWithTitle(pix3, 880, 0, NULL, rp->display);
FindEMD(pix2, pix3, &distr, &distg, &distb);
regTestCompareValues(rp, 1.50, distr, 0.01); /* 23 */
regTestCompareValues(rp, 1.71, distg, 0.01); /* 24 */
regTestCompareValues(rp, 1.42, distb, 0.01); /* 25 */
fprintf(stderr, "Rotation dist (r,g,b) = (%5.2f, %5.2f, %5.2f)\n",
distr, distg, distb);
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix3);
/* Test color transform: 2 different forms */
fprintf(stderr, "Test color transform (2 forms)\n");
pix1 = pixRead("form1.tif");
pix2 = pixLocToColorTransform(pix1);
pixDisplayWithTitle(pix2, 0, 600, NULL, rp->display);
pix3 = pixRead("form2.tif");
pix4 = pixLocToColorTransform(pix3);
regTestWritePixAndCheck(rp, pix4, IFF_PNG); /* 25 */
pixDisplayWithTitle(pix4, 470, 600, NULL, rp->display);
FindEMD(pix2, pix4, &distr, &distg, &distb);
regTestCompareValues(rp, 6.10, distr, 0.02); /* 27 */
regTestCompareValues(rp, 11.13, distg, 0.01); /* 28 */
regTestCompareValues(rp, 10.53, distb, 0.01); /* 29 */
fprintf(stderr, "Different forms: dist (r,g,b) = (%5.2f, %5.2f, %5.2f)\n",
distr, distg, distb);
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix3);
pixDestroy(&pix4);
return regTestCleanup(rp);
}
int main(int argc,
char **argv) {
l_int32 i, n, ws, hs, w, h, rval, gval, bval, order;
l_float32 *mat1, *mat2, *mat3;
l_float32 matd[9];
BOX *box, *boxt;
BOXA *boxa, *boxat, *boxa1, *boxa2, *boxa3, *boxa4, *boxa5;
PIX *pix, *pixs, *pixc, *pixt, *pix1, *pix2, *pix3;
PIXA *pixa;
L_REGPARAMS *rp;
if (regTestSetup(argc, argv, &rp))
return 1;
/* ----------------------------------------------------------- *
* Test hash rendering in 3 modes *
* ----------------------------------------------------------- */
pixs = pixRead("feyn.tif");
box = boxCreate(461, 429, 1393, 342);
pix1 = pixClipRectangle(pixs, box, NULL);
boxa = pixConnComp(pix1, NULL, 8);
n = boxaGetCount(boxa);
pix2 = pixConvertTo8(pix1, 1);
pix3 = pixConvertTo32(pix1);
for (i = 0; i < n; i++) {
boxt = boxaGetBox(boxa, i, L_CLONE);
rval = (1413 * (i + 1)) % 256;
gval = (4917 * (i + 1)) % 256;
bval = (7341 * (i + 1)) % 256;
pixRenderHashBox(pix1, boxt, 8, 2, i % 4, 1, L_SET_PIXELS);
pixRenderHashBoxArb(pix2, boxt, 7, 2, i % 4, 1, rval, gval, bval);
pixRenderHashBoxBlend(pix3, boxt, 7, 2, i % 4, 1,
rval, gval, bval, 0.5);
boxDestroy(&boxt);
}
regTestWritePixAndCheck(rp, pix1, IFF_PNG); /* 0 */
regTestWritePixAndCheck(rp, pix2, IFF_PNG); /* 1 */
regTestWritePixAndCheck(rp, pix3, IFF_PNG); /* 2 */
pixDisplayWithTitle(pix1, 0, 0, NULL, rp->display);
pixDisplayWithTitle(pix2, 0, 300, NULL, rp->display);
pixDisplayWithTitle(pix3, 0, 570, NULL, rp->display);
boxaDestroy(&boxa);
boxDestroy(&box);
pixDestroy(&pixs);
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix3);
/* ----------------------------------------------------------- *
* Test orthogonal box rotation and hash rendering *
* ----------------------------------------------------------- */
pixs = pixRead("feyn.tif");
box = boxCreate(461, 429, 1393, 342);
pix1 = pixClipRectangle(pixs, box, NULL);
pixc = pixConvertTo32(pix1);
pixGetDimensions(pix1, &w, &h, NULL);
boxa1 = pixConnComp(pix1, NULL, 8);
pixa = pixaCreate(4);
for (i = 0; i < 4; i++) {
pix2 = pixRotateOrth(pixc, i);
boxa2 = boxaRotateOrth(boxa1, w, h, i);
rval = (1413 * (i + 4)) % 256;
gval = (4917 * (i + 4)) % 256;
bval = (7341 * (i + 4)) % 256;
pixRenderHashBoxaArb(pix2, boxa2, 10, 3, i, 1, rval, gval, bval);
pixaAddPix(pixa, pix2, L_INSERT);
boxaDestroy(&boxa2);
}
pix3 = pixaDisplayTiledInRows(pixa, 32, 1200, 0.7, 0, 30, 3);
regTestWritePixAndCheck(rp, pix3, IFF_PNG); /* 3 */
pixDisplayWithTitle(pix3, 0, 800, NULL, rp->display);
boxDestroy(&box);
pixDestroy(&pixs);
pixDestroy(&pix1);
pixDestroy(&pix3);
pixDestroy(&pixc);
boxaDestroy(&boxa1);
pixaDestroy(&pixa);
/* ----------------------------------------------------------- *
* Test box transforms with either translation or scaling *
* combined with rotation, using the simple 'ordered' *
* function. Show that the order of the operations does *
* not matter; different hashing schemes end up in the *
* identical boxes. *
* ----------------------------------------------------------- */
pix = pixRead("feyn.tif");
box = boxCreate(420, 360, 1500, 465);
pixt = pixClipRectangle(pix, box, NULL);
pixs = pixAddBorderGeneral(pixt, 0, 200, 0, 0, 0);
boxDestroy(&box);
pixDestroy(&pix);
pixDestroy(&pixt);
boxa = pixConnComp(pixs, NULL, 8);
n = boxaGetCount(boxa);
pixa = pixaCreate(0);
pixt = pixConvertTo32(pixs);
for (i = 0; i < 3; i++) {
if (i == 0)
order = L_TR_SC_RO;
else if (i == 1)
order = L_TR_RO_SC;
else
order = L_SC_TR_RO;
boxat = boxaTransformOrdered(boxa, SHIFTX_2, SHIFTY_2, 1.0, 1.0,
450, 250, ROTATION_2, order);
RenderTransformedBoxa(pixt, boxat, i);
boxaDestroy(&boxat);
}
pixSaveTiled(pixt, pixa, 1.0, 1, 30, 32);
pixDestroy(&pixt);
pixt = pixConvertTo32(pixs);
for (i = 0; i < 3; i++) {
if (i == 0)
order = L_RO_TR_SC;
else if (i == 1)
order = L_RO_SC_TR;
else
order = L_SC_RO_TR;
boxat = boxaTransformOrdered(boxa, SHIFTX_2, SHIFTY_2, 1.0, 1.0,
450, 250, ROTATION_2, order);
RenderTransformedBoxa(pixt, boxat, i + 4);
boxaDestroy(&boxat);
}
pixSaveTiled(pixt, pixa, 1.0, 1, 30, 0);
pixDestroy(&pixt);
pixt = pixConvertTo32(pixs);
for (i = 0; i < 3; i++) {
if (i == 0)
order = L_TR_SC_RO;
else if (i == 1)
order = L_SC_RO_TR;
else
order = L_SC_TR_RO;
boxat = boxaTransformOrdered(boxa, 0, 0, SCALEX_2, SCALEY_2,
450, 250, ROTATION_2, order);
RenderTransformedBoxa(pixt, boxat, i + 8);
boxaDestroy(&boxat);
}
pixSaveTiled(pixt, pixa, 1.0, 1, 30, 0);
pixDestroy(&pixt);
pixt = pixConvertTo32(pixs);
for (i = 0; i < 3; i++) {
if (i == 0)
order = L_RO_TR_SC;
else if (i == 1)
order = L_RO_SC_TR;
else
order = L_TR_RO_SC;
boxat = boxaTransformOrdered(boxa, 0, 0, SCALEX_2, SCALEY_2,
450, 250, ROTATION_2, order);
RenderTransformedBoxa(pixt, boxat, i + 12);
boxaDestroy(&boxat);
}
pixSaveTiled(pixt, pixa, 1.0, 1, 30, 0);
pixDestroy(&pixt);
pixt = pixaDisplay(pixa, 0, 0);
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 4 */
pixDisplayWithTitle(pixt, 1000, 0, NULL, rp->display);
pixDestroy(&pixt);
pixDestroy(&pixs);
boxaDestroy(&boxa);
pixaDestroy(&pixa);
/* ----------------------------------------------------------- *
* Do more testing of box and pta transforms. Show that *
* resulting boxes are identical by three methods. *
* ----------------------------------------------------------- */
/* Set up pix and boxa */
pixa = pixaCreate(0);
pix = pixRead("lucasta.1.300.tif");
pixTranslate(pix, pix, 70, 0, L_BRING_IN_WHITE);
pixt = pixCloseBrick(NULL, pix, 14, 5);
pixOpenBrick(pixt, pixt, 1, 2);
boxa = pixConnComp(pixt, NULL, 8);
pixs = pixConvertTo32(pix);
pixc = pixCopy(NULL, pixs);
RenderTransformedBoxa(pixc, boxa, 113);
pixSaveTiled(pixc, pixa, 0.5, 1, 30, 32);
pixDestroy(&pix);
pixDestroy(&pixc);
pixDestroy(&pixt);
/* (a) Do successive discrete operations: shift, scale, rotate */
pix1 = pixTranslate(NULL, pixs, SHIFTX_3, SHIFTY_3, L_BRING_IN_WHITE);
boxa1 = boxaTranslate(boxa, SHIFTX_3, SHIFTY_3);
pixc = pixCopy(NULL, pix1);
RenderTransformedBoxa(pixc, boxa1, 213);
pixSaveTiled(pixc, pixa, 0.5, 0, 30, 32);
pixDestroy(&pixc);
pix2 = pixScale(pix1, SCALEX_3, SCALEY_3);
boxa2 = boxaScale(boxa1, SCALEX_3, SCALEY_3);
pixc = pixCopy(NULL, pix2);
RenderTransformedBoxa(pixc, boxa2, 313);
pixSaveTiled(pixc, pixa, 0.5, 1, 30, 32);
pixDestroy(&pixc);
pixGetDimensions(pix2, &w, &h, NULL);
pix3 = pixRotateAM(pix2, ROTATION_3, L_BRING_IN_WHITE);
boxa3 = boxaRotate(boxa2, w / 2, h / 2, ROTATION_3);
pixc = pixCopy(NULL, pix3);
RenderTransformedBoxa(pixc, boxa3, 413);
pixSaveTiled(pixc, pixa, 0.5, 0, 30, 32);
pixDestroy(&pixc);
/* (b) Set up and use the composite transform */
mat1 = createMatrix2dTranslate(SHIFTX_3, SHIFTY_3);
mat2 = createMatrix2dScale(SCALEX_3, SCALEY_3);
mat3 = createMatrix2dRotate(w / 2, h / 2, ROTATION_3);
l_productMat3(mat3, mat2, mat1, matd, 3);
boxa4 = boxaAffineTransform(boxa, matd);
pixc = pixCopy(NULL, pix3);
RenderTransformedBoxa(pixc, boxa4, 513);
pixSaveTiled(pixc, pixa, 0.5, 1, 30, 32);
pixDestroy(&pixc);
/* (c) Use the special 'ordered' function */
pixGetDimensions(pixs, &ws, &hs, NULL);
boxa5 = boxaTransformOrdered(boxa, SHIFTX_3, SHIFTY_3,
SCALEX_3, SCALEY_3,
ws / 2, hs / 2, ROTATION_3, L_TR_SC_RO);
pixc = pixCopy(NULL, pix3);
RenderTransformedBoxa(pixc, boxa5, 613);
pixSaveTiled(pixc, pixa, 0.5, 0, 30, 32);
pixDestroy(&pixc);
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix3);
boxaDestroy(&boxa1);
boxaDestroy(&boxa2);
boxaDestroy(&boxa3);
boxaDestroy(&boxa4);
boxaDestroy(&boxa5);
lept_free(mat1);
lept_free(mat2);
lept_free(mat3);
pixt = pixaDisplay(pixa, 0, 0);
regTestWritePixAndCheck(rp, pixt, IFF_PNG); /* 5 */
pixDisplayWithTitle(pixt, 1000, 300, NULL, rp->display);
pixDestroy(&pixt);
pixDestroy(&pixs);
boxaDestroy(&boxa);
pixaDestroy(&pixa);
return regTestCleanup(rp);
}