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;
}
int main(int argc,
char **argv)
{
l_int32 i, j;
l_int32 w, h, bw, bh, wpls, rval, gval, bval, same;
l_uint32 pixel;
l_uint32 *lines, *datas;
l_float32 sum1, sum2, ave1, ave2, ave3, ave4, diff1, diff2;
l_float32 var1, var2, var3;
BOX *box1, *box2;
NUMA *na, *na1, *na2, *na3, *na4;
PIX *pix, *pixs, *pix1, *pix2, *pix3, *pix4, *pix5, *pixg, *pixd;
PIXA *pixa;
static char mainName[] = "numa2_reg";
if (argc != 1)
return ERROR_INT(" Syntax: numa2_reg", mainName, 1);
lept_mkdir("lept/numa2");
/* -------------------------------------------------------------------*
* Numa-windowed stats *
* -------------------------------------------------------------------*/
#if DO_ALL
na = numaRead("lyra.5.na");
numaWindowedStats(na, 5, &na1, &na2, &na3, &na4);
gplotSimple1(na, GPLOT_PNG, "/tmp/lept/numa2/lyra6", "Original");
gplotSimple1(na1, GPLOT_PNG, "/tmp/lept/numa2/lyra7", "Mean");
gplotSimple1(na2, GPLOT_PNG, "/tmp/lept/numa2/lyra8", "Mean Square");
gplotSimple1(na3, GPLOT_PNG, "/tmp/lept/numa2/lyra9", "Variance");
gplotSimple1(na4, GPLOT_PNG, "/tmp/lept/numa2/lyra10", "RMS Difference");
pixa = pixaCreate(5);
pix1 = pixRead("/tmp/lept/numa2/lyra6.png");
pix2 = pixRead("/tmp/lept/numa2/lyra7.png");
pix3 = pixRead("/tmp/lept/numa2/lyra8.png");
pix4 = pixRead("/tmp/lept/numa2/lyra9.png");
pix5 = pixRead("/tmp/lept/numa2/lyra10.png");
pixaAddPix(pixa, pix1, L_INSERT);
pixaAddPix(pixa, pix2, L_INSERT);
pixaAddPix(pixa, pix3, L_INSERT);
pixaAddPix(pixa, pix4, L_INSERT);
pixaAddPix(pixa, pix5, L_INSERT);
pixd = pixaDisplayTiledInRows(pixa, 32, 1500, 1.0, 0, 20, 2);
pixDisplay(pixd, 100, 0);
pixWrite("/tmp/lept/numa2/window.png", pixd, IFF_PNG);
pixDestroy(&pixd);
pixaDestroy(&pixa);
numaDestroy(&na);
numaDestroy(&na1);
numaDestroy(&na2);
numaDestroy(&na3);
numaDestroy(&na4);
#endif
/* -------------------------------------------------------------------*
* Extraction on a line *
* -------------------------------------------------------------------*/
#if DO_ALL
/* First, make a pretty image */
w = h = 200;
pixs = pixCreate(w, h, 32);
wpls = pixGetWpl(pixs);
datas = pixGetData(pixs);
for (i = 0; i < 200; i++) {
lines = datas + i * wpls;
for (j = 0; j < 200; j++) {
rval = (l_int32)((255. * j) / w + (255. * i) / h);
gval = (l_int32)((255. * 2 * j) / w + (255. * 2 * i) / h) % 255;
bval = (l_int32)((255. * 4 * j) / w + (255. * 4 * i) / h) % 255;
composeRGBPixel(rval, gval, bval, &pixel);
lines[j] = pixel;
}
}
pixg = pixConvertTo8(pixs, 0); /* and a grayscale version */
pixWrite("/tmp/lept/numa_pixg.png", pixg, IFF_PNG);
pixDisplay(pixg, 450, 100);
na1 = pixExtractOnLine(pixg, 20, 20, 180, 20, 1);
na2 = pixExtractOnLine(pixg, 40, 30, 40, 170, 1);
na3 = pixExtractOnLine(pixg, 20, 170, 180, 30, 1);
na4 = pixExtractOnLine(pixg, 20, 190, 180, 10, 1);
gplotSimple1(na1, GPLOT_PNG, "/tmp/lept/numa2/ext1", "Horizontal");
gplotSimple1(na2, GPLOT_PNG, "/tmp/lept/numa2/ext2", "Vertical");
gplotSimple1(na3, GPLOT_PNG, "/tmp/lept/numa2/ext3",
"Slightly more horizontal than vertical");
gplotSimple1(na4, GPLOT_PNG, "/tmp/lept/numa2/ext4",
"Slightly more vertical than horizontal");
pixa = pixaCreate(4);
pix1 = pixRead("/tmp/lept/numa2/ext1.png");
pix2 = pixRead("/tmp/lept/numa2/ext2.png");
pix3 = pixRead("/tmp/lept/numa2/ext3.png");
pix4 = pixRead("/tmp/lept/numa2/ext4.png");
pixaAddPix(pixa, pix1, L_INSERT);
pixaAddPix(pixa, pix2, L_INSERT);
pixaAddPix(pixa, pix3, L_INSERT);
pixaAddPix(pixa, pix4, L_INSERT);
pixd = pixaDisplayTiledInRows(pixa, 32, 1500, 1.0, 0, 20, 2);
pixDisplay(pixd, 100, 450);
pixWrite("/tmp/lept/numa2/extract.png", pixd, IFF_PNG);
pixDestroy(&pixd);
pixaDestroy(&pixa);
pixDestroy(&pixg);
numaDestroy(&na1);
numaDestroy(&na2);
numaDestroy(&na3);
numaDestroy(&na4);
#endif
/* -------------------------------------------------------------------*
* Row and column pixel sums *
* -------------------------------------------------------------------*/
#if DO_ALL
/* Sum by columns in two halves (left and right) */
pixs = pixRead("test8.jpg");
pixGetDimensions(pixs, &w, &h, NULL);
box1 = boxCreate(0, 0, w / 2, h);
box2 = boxCreate(w / 2, 0, w - 2 / 2, h);
na1 = pixAverageByColumn(pixs, box1, L_BLACK_IS_MAX);
na2 = pixAverageByColumn(pixs, box2, L_BLACK_IS_MAX);
numaJoin(na1, na2, 0, -1);
na3 = pixAverageByColumn(pixs, NULL, L_BLACK_IS_MAX);
numaSimilar(na1, na3, 0.0, &same);
if (same)
fprintf(stderr, "Same for columns\n");
else
fprintf(stderr, "Error for columns\n");
pix = pixConvertTo32(pixs);
pixRenderPlotFromNumaGen(&pix, na3, L_HORIZONTAL_LINE, 3, h / 2, 80, 1,
0xff000000);
pixRenderPlotFromNuma(&pix, na3, L_PLOT_AT_BOT, 3, 80, 0xff000000);
boxDestroy(&box1);
boxDestroy(&box2);
numaDestroy(&na1);
numaDestroy(&na2);
numaDestroy(&na3);
/* Sum by rows in two halves (top and bottom) */
box1 = boxCreate(0, 0, w, h / 2);
box2 = boxCreate(0, h / 2, w, h - h / 2);
na1 = pixAverageByRow(pixs, box1, L_WHITE_IS_MAX);
na2 = pixAverageByRow(pixs, box2, L_WHITE_IS_MAX);
numaJoin(na1, na2, 0, -1);
na3 = pixAverageByRow(pixs, NULL, L_WHITE_IS_MAX);
numaSimilar(na1, na3, 0.0, &same);
if (same)
fprintf(stderr, "Same for rows\n");
else
fprintf(stderr, "Error for rows\n");
pixRenderPlotFromNumaGen(&pix, na3, L_VERTICAL_LINE, 3, w / 2, 80, 1,
0x00ff0000);
pixRenderPlotFromNuma(&pix, na3, L_PLOT_AT_RIGHT, 3, 80, 0x00ff0000);
pixDisplay(pix, 500, 200);
boxDestroy(&box1);
boxDestroy(&box2);
numaDestroy(&na1);
numaDestroy(&na2);
numaDestroy(&na3);
pixDestroy(&pix);
/* Average left by rows; right by columns; compare totals */
box1 = boxCreate(0, 0, w / 2, h);
box2 = boxCreate(w / 2, 0, w - 2 / 2, h);
na1 = pixAverageByRow(pixs, box1, L_WHITE_IS_MAX);
na2 = pixAverageByColumn(pixs, box2, L_WHITE_IS_MAX);
numaGetSum(na1, &sum1); /* sum of averages of left box */
numaGetSum(na2, &sum2); /* sum of averages of right box */
ave1 = sum1 / h;
ave2 = 2.0 * sum2 / w;
ave3 = 0.5 * (ave1 + ave2); /* average over both halves */
fprintf(stderr, "ave1 = %8.4f\n", sum1 / h);
fprintf(stderr, "ave2 = %8.4f\n", 2.0 * sum2 / w);
pixAverageInRect(pixs, NULL, &ave4); /* entire image */
diff1 = ave4 - ave3;
diff2 = w * h * ave4 - (0.5 * w * sum1 + h * sum2);
if (diff1 < 0.001)
fprintf(stderr, "Average diffs are correct\n");
else
fprintf(stderr, "Average diffs are wrong: diff1 = %7.5f\n", diff1);
if (diff2 < 20) /* float-to-integer roundoff */
fprintf(stderr, "Pixel sums are correct\n");
else
fprintf(stderr, "Pixel sums are in error: diff = %7.0f\n", diff2);
/* Variance left and right halves. Variance doesn't average
* in a simple way, unlike pixel sums. */
pixVarianceInRect(pixs, box1, &var1); /* entire image */
pixVarianceInRect(pixs, box2, &var2); /* entire image */
pixVarianceInRect(pixs, NULL, &var3); /* entire image */
fprintf(stderr, "0.5 * (var1 + var2) = %7.3f, var3 = %7.3f\n",
0.5 * (var1 + var2), var3);
boxDestroy(&box1);
boxDestroy(&box2);
numaDestroy(&na1);
numaDestroy(&na2);
#endif
/* -------------------------------------------------------------------*
* Row and column variances *
* -------------------------------------------------------------------*/
#if DO_ALL
/* Display variance by rows and columns */
box1 = boxCreate(415, 0, 130, 425);
boxGetGeometry(box1, NULL, NULL, &bw, &bh);
na1 = pixVarianceByRow(pixs, box1);
na2 = pixVarianceByColumn(pixs, box1);
pix = pixConvertTo32(pixs);
pix1 = pixCopy(NULL, pix);
pixRenderPlotFromNumaGen(&pix, na1, L_VERTICAL_LINE, 3, 415, 100, 1,
0xff000000);
pixRenderPlotFromNumaGen(&pix, na2, L_HORIZONTAL_LINE, 3, bh / 2, 100, 1,
0x00ff0000);
pixRenderPlotFromNuma(&pix1, na1, L_PLOT_AT_LEFT, 3, 60, 0x00ff0000);
pixRenderPlotFromNuma(&pix1, na1, L_PLOT_AT_MID_VERT, 3, 60, 0x0000ff00);
pixRenderPlotFromNuma(&pix1, na1, L_PLOT_AT_RIGHT, 3, 60, 0xff000000);
pixRenderPlotFromNuma(&pix1, na2, L_PLOT_AT_TOP, 3, 60, 0x0000ff00);
pixRenderPlotFromNuma(&pix1, na2, L_PLOT_AT_MID_HORIZ, 3, 60, 0xff000000);
pixRenderPlotFromNuma(&pix1, na2, L_PLOT_AT_BOT, 3, 60, 0x00ff0000);
pixDisplay(pix, 500, 900);
pixDisplay(pix1, 500, 1000);
boxDestroy(&box1);
numaDestroy(&na1);
numaDestroy(&na2);
pixDestroy(&pix);
pixDestroy(&pix1);
pixDestroy(&pixs);
/* Again on a different image */
pix1 = pixRead("boxedpage.jpg");
pix2 = pixConvertTo8(pix1, 0);
pixGetDimensions(pix2, &w, &h, NULL);
na1 = pixVarianceByRow(pix2, NULL);
pix3 = pixConvertTo32(pix1);
pixRenderPlotFromNumaGen(&pix3, na1, L_VERTICAL_LINE, 3, 0, 70, 1,
0xff000000);
na2 = pixVarianceByColumn(pix2, NULL);
pixRenderPlotFromNumaGen(&pix3, na2, L_HORIZONTAL_LINE, 3, bh - 1, 70, 1,
0x00ff0000);
pixDisplay(pix3, 1000, 0);
numaDestroy(&na1);
numaDestroy(&na2);
pixDestroy(&pix3);
/* Again, with an erosion */
pix3 = pixErodeGray(pix2, 3, 21);
pixDisplay(pix3, 1400, 0);
na1 = pixVarianceByRow(pix3, NULL);
pix4 = pixConvertTo32(pix1);
pixRenderPlotFromNumaGen(&pix4, na1, L_VERTICAL_LINE, 3, 30, 70, 1,
0xff000000);
na2 = pixVarianceByColumn(pix3, NULL);
pixRenderPlotFromNumaGen(&pix4, na2, L_HORIZONTAL_LINE, 3, bh - 1, 70, 1,
0x00ff0000);
pixDisplay(pix4, 1000, 550);
numaDestroy(&na1);
numaDestroy(&na2);
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix3);
pixDestroy(&pix4);
#endif
/* -------------------------------------------------------------------*
* Windowed variance along a line *
* -------------------------------------------------------------------*/
#if DO_ALL
pix1 = pixRead("boxedpage.jpg");
pix2 = pixConvertTo8(pix1, 0);
pixGetDimensions(pix2, &w, &h, NULL);
pix3 = pixCopy(NULL, pix1);
/* Plot along horizontal line */
pixWindowedVarianceOnLine(pix2, L_HORIZONTAL_LINE, h / 2 - 30, 0,
w, 5, &na1);
pixRenderPlotFromNumaGen(&pix1, na1, L_HORIZONTAL_LINE, 3, h / 2 - 30,
80, 1, 0xff000000);
pixRenderPlotFromNuma(&pix3, na1, L_PLOT_AT_TOP, 3, 60, 0x00ff0000);
pixRenderPlotFromNuma(&pix3, na1, L_PLOT_AT_BOT, 3, 60, 0x0000ff00);
/* Plot along vertical line */
pixWindowedVarianceOnLine(pix2, L_VERTICAL_LINE, 0.78 * w, 0,
h, 5, &na2);
pixRenderPlotFromNumaGen(&pix1, na2, L_VERTICAL_LINE, 3, 0.78 * w, 60,
1, 0x00ff0000);
pixRenderPlotFromNuma(&pix3, na2, L_PLOT_AT_LEFT, 3, 60, 0xff000000);
pixRenderPlotFromNuma(&pix3, na2, L_PLOT_AT_RIGHT, 3, 60, 0x00ff0000);
pixDisplay(pix1, 1000, 1000);
pixDisplay(pix3, 1500, 1000);
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix3);
numaDestroy(&na1);
numaDestroy(&na2);
#endif
return 0;
}
int main(int argc,
char **argv)
{
l_int32 i, j;
l_int32 w, h, bw, bh, wpls, rval, gval, bval, same;
l_uint32 pixel;
l_uint32 *lines, *datas;
l_float32 sum1, sum2, ave1, ave2, ave3, ave4, diff1, diff2;
l_float32 var1, var2, var3;
BOX *box1, *box2;
NUMA *na, *na1, *na2, *na3, *na4;
PIX *pix, *pixs, *pix1, *pix2, *pix3, *pix4, *pix5, *pixg, *pixd;
PIXA *pixa;
L_REGPARAMS *rp;
if (regTestSetup(argc, argv, &rp))
return 1;
lept_mkdir("lept/numa2");
/* -------------------------------------------------------------------*
* Numa-windowed stats *
* -------------------------------------------------------------------*/
na = numaRead("lyra.5.na");
numaWindowedStats(na, 5, &na1, &na2, &na3, &na4);
gplotSimple1(na, GPLOT_PNG, "/tmp/lept/numa2/lyra1", "Original");
gplotSimple1(na1, GPLOT_PNG, "/tmp/lept/numa2/lyra2", "Mean");
gplotSimple1(na2, GPLOT_PNG, "/tmp/lept/numa2/lyra3", "Mean Square");
gplotSimple1(na3, GPLOT_PNG, "/tmp/lept/numa2/lyra4", "Variance");
gplotSimple1(na4, GPLOT_PNG, "/tmp/lept/numa2/lyra5", "RMS Difference");
pix1 = pixRead("/tmp/lept/numa2/lyra1.png");
pix2 = pixRead("/tmp/lept/numa2/lyra2.png");
pix3 = pixRead("/tmp/lept/numa2/lyra3.png");
pix4 = pixRead("/tmp/lept/numa2/lyra4.png");
pix5 = pixRead("/tmp/lept/numa2/lyra5.png");
regTestWritePixAndCheck(rp, pix1, IFF_PNG); /* 0 */
regTestWritePixAndCheck(rp, pix2, IFF_PNG); /* 1 */
regTestWritePixAndCheck(rp, pix3, IFF_PNG); /* 2 */
regTestWritePixAndCheck(rp, pix4, IFF_PNG); /* 3 */
regTestWritePixAndCheck(rp, pix5, IFF_PNG); /* 4 */
pixa = pixaCreate(5);
pixaAddPix(pixa, pix1, L_INSERT);
pixaAddPix(pixa, pix2, L_INSERT);
pixaAddPix(pixa, pix3, L_INSERT);
pixaAddPix(pixa, pix4, L_INSERT);
pixaAddPix(pixa, pix5, L_INSERT);
if (rp->display) {
pixd = pixaDisplayTiledInRows(pixa, 32, 1500, 1.0, 0, 20, 2);
pixDisplayWithTitle(pixd, 0, 0, NULL, 1);
pixDestroy(&pixd);
}
pixaDestroy(&pixa);
numaDestroy(&na);
numaDestroy(&na1);
numaDestroy(&na2);
numaDestroy(&na3);
numaDestroy(&na4);
/* -------------------------------------------------------------------*
* Extraction on a line *
* -------------------------------------------------------------------*/
/* First, make a pretty image */
w = h = 200;
pixs = pixCreate(w, h, 32);
wpls = pixGetWpl(pixs);
datas = pixGetData(pixs);
for (i = 0; i < 200; i++) {
lines = datas + i * wpls;
for (j = 0; j < 200; j++) {
rval = (l_int32)((255. * j) / w + (255. * i) / h);
gval = (l_int32)((255. * 2 * j) / w + (255. * 2 * i) / h) % 255;
bval = (l_int32)((255. * 4 * j) / w + (255. * 4 * i) / h) % 255;
composeRGBPixel(rval, gval, bval, &pixel);
lines[j] = pixel;
}
}
pixg = pixConvertTo8(pixs, 0); /* and a grayscale version */
regTestWritePixAndCheck(rp, pixg, IFF_PNG); /* 5 */
pixDisplayWithTitle(pixg, 0, 300, NULL, rp->display);
na1 = pixExtractOnLine(pixg, 20, 20, 180, 20, 1);
na2 = pixExtractOnLine(pixg, 40, 30, 40, 170, 1);
na3 = pixExtractOnLine(pixg, 20, 170, 180, 30, 1);
na4 = pixExtractOnLine(pixg, 20, 190, 180, 10, 1);
gplotSimple1(na1, GPLOT_PNG, "/tmp/lept/numa2/ext1", "Horizontal");
gplotSimple1(na2, GPLOT_PNG, "/tmp/lept/numa2/ext2", "Vertical");
gplotSimple1(na3, GPLOT_PNG, "/tmp/lept/numa2/ext3",
"Slightly more horizontal than vertical");
gplotSimple1(na4, GPLOT_PNG, "/tmp/lept/numa2/ext4",
"Slightly more vertical than horizontal");
pix1 = pixRead("/tmp/lept/numa2/ext1.png");
pix2 = pixRead("/tmp/lept/numa2/ext2.png");
pix3 = pixRead("/tmp/lept/numa2/ext3.png");
pix4 = pixRead("/tmp/lept/numa2/ext4.png");
regTestWritePixAndCheck(rp, pix1, IFF_PNG); /* 6 */
regTestWritePixAndCheck(rp, pix2, IFF_PNG); /* 7 */
regTestWritePixAndCheck(rp, pix3, IFF_PNG); /* 8 */
regTestWritePixAndCheck(rp, pix4, IFF_PNG); /* 9 */
pixa = pixaCreate(4);
pixaAddPix(pixa, pix1, L_INSERT);
pixaAddPix(pixa, pix2, L_INSERT);
pixaAddPix(pixa, pix3, L_INSERT);
pixaAddPix(pixa, pix4, L_INSERT);
if (rp->display) {
pixd = pixaDisplayTiledInRows(pixa, 32, 1500, 1.0, 0, 20, 2);
pixDisplayWithTitle(pixd, 300, 0, NULL, 1);
pixDestroy(&pixd);
}
pixaDestroy(&pixa);
pixDestroy(&pixg);
pixDestroy(&pixs);
numaDestroy(&na1);
numaDestroy(&na2);
numaDestroy(&na3);
numaDestroy(&na4);
/* -------------------------------------------------------------------*
* Row and column pixel sums *
* -------------------------------------------------------------------*/
/* Sum by columns in two halves (left and right) */
pixs = pixRead("test8.jpg");
pixGetDimensions(pixs, &w, &h, NULL);
box1 = boxCreate(0, 0, w / 2, h);
box2 = boxCreate(w / 2, 0, w - 2 / 2, h);
na1 = pixAverageByColumn(pixs, box1, L_BLACK_IS_MAX);
na2 = pixAverageByColumn(pixs, box2, L_BLACK_IS_MAX);
numaJoin(na1, na2, 0, -1);
na3 = pixAverageByColumn(pixs, NULL, L_BLACK_IS_MAX);
numaSimilar(na1, na3, 0.0, &same); /* for columns */
regTestCompareValues(rp, 1, same, 0); /* 10 */
pix1 = pixConvertTo32(pixs);
pixRenderPlotFromNumaGen(&pix1, na3, L_HORIZONTAL_LINE, 3, h / 2, 80, 1,
0xff000000);
pixRenderPlotFromNuma(&pix1, na3, L_PLOT_AT_BOT, 3, 80, 0xff000000);
boxDestroy(&box1);
boxDestroy(&box2);
numaDestroy(&na1);
numaDestroy(&na2);
numaDestroy(&na3);
/* Sum by rows in two halves (top and bottom) */
box1 = boxCreate(0, 0, w, h / 2);
box2 = boxCreate(0, h / 2, w, h - h / 2);
na1 = pixAverageByRow(pixs, box1, L_WHITE_IS_MAX);
na2 = pixAverageByRow(pixs, box2, L_WHITE_IS_MAX);
numaJoin(na1, na2, 0, -1);
na3 = pixAverageByRow(pixs, NULL, L_WHITE_IS_MAX);
numaSimilar(na1, na3, 0.0, &same); /* for rows */
regTestCompareValues(rp, 1, same, 0); /* 11 */
pixRenderPlotFromNumaGen(&pix1, na3, L_VERTICAL_LINE, 3, w / 2, 80, 1,
0x00ff0000);
pixRenderPlotFromNuma(&pix1, na3, L_PLOT_AT_RIGHT, 3, 80, 0x00ff0000);
regTestWritePixAndCheck(rp, pix1, IFF_PNG); /* 12 */
pixDisplayWithTitle(pix1, 0, 600, NULL, rp->display);
pixDestroy(&pix1);
boxDestroy(&box1);
boxDestroy(&box2);
numaDestroy(&na1);
numaDestroy(&na2);
numaDestroy(&na3);
/* Average left by rows; right by columns; compare totals */
box1 = boxCreate(0, 0, w / 2, h);
box2 = boxCreate(w / 2, 0, w - 2 / 2, h);
na1 = pixAverageByRow(pixs, box1, L_WHITE_IS_MAX);
na2 = pixAverageByColumn(pixs, box2, L_WHITE_IS_MAX);
numaGetSum(na1, &sum1); /* sum of averages of left box */
numaGetSum(na2, &sum2); /* sum of averages of right box */
ave1 = sum1 / h;
ave2 = 2.0 * sum2 / w;
ave3 = 0.5 * (ave1 + ave2); /* average over both halves */
regTestCompareValues(rp, 189.59, ave1, 0.01); /* 13 */
regTestCompareValues(rp, 207.89, ave2, 0.01); /* 14 */
if (rp->display) {
fprintf(stderr, "ave1 = %8.4f\n", sum1 / h);
fprintf(stderr, "ave2 = %8.4f\n", 2.0 * sum2 / w);
}
pixAverageInRect(pixs, NULL, &ave4); /* entire image */
diff1 = ave4 - ave3;
diff2 = w * h * ave4 - (0.5 * w * sum1 + h * sum2);
regTestCompareValues(rp, 0.0, diff1, 0.001); /* 15 */
regTestCompareValues(rp, 10.0, diff2, 10.0); /* 16 */
/* Variance left and right halves. Variance doesn't average
* in a simple way, unlike pixel sums. */
pixVarianceInRect(pixs, box1, &var1); /* entire image */
pixVarianceInRect(pixs, box2, &var2); /* entire image */
pixVarianceInRect(pixs, NULL, &var3); /* entire image */
regTestCompareValues(rp, 82.06, 0.5 * (var1 + var2), 0.01); /* 17 */
regTestCompareValues(rp, 82.66, var3, 0.01); /* 18 */
boxDestroy(&box1);
boxDestroy(&box2);
numaDestroy(&na1);
numaDestroy(&na2);
/* -------------------------------------------------------------------*
* Row and column variances *
* -------------------------------------------------------------------*/
/* Display variance by rows and columns */
box1 = boxCreate(415, 0, 130, 425);
boxGetGeometry(box1, NULL, NULL, &bw, &bh);
na1 = pixVarianceByRow(pixs, box1);
na2 = pixVarianceByColumn(pixs, box1);
pix1 = pixConvertTo32(pixs);
pix2 = pixCopy(NULL, pix1);
pixRenderPlotFromNumaGen(&pix1, na1, L_VERTICAL_LINE, 3, 415, 100, 1,
0xff000000);
pixRenderPlotFromNumaGen(&pix1, na2, L_HORIZONTAL_LINE, 3, bh / 2, 100, 1,
0x00ff0000);
pixRenderPlotFromNuma(&pix2, na1, L_PLOT_AT_LEFT, 3, 60, 0x00ff0000);
pixRenderPlotFromNuma(&pix2, na1, L_PLOT_AT_MID_VERT, 3, 60, 0x0000ff00);
pixRenderPlotFromNuma(&pix2, na1, L_PLOT_AT_RIGHT, 3, 60, 0xff000000);
pixRenderPlotFromNuma(&pix2, na2, L_PLOT_AT_TOP, 3, 60, 0x0000ff00);
pixRenderPlotFromNuma(&pix2, na2, L_PLOT_AT_MID_HORIZ, 3, 60, 0xff000000);
pixRenderPlotFromNuma(&pix2, na2, L_PLOT_AT_BOT, 3, 60, 0x00ff0000);
regTestWritePixAndCheck(rp, pix1, IFF_PNG); /* 19 */
regTestWritePixAndCheck(rp, pix2, IFF_PNG); /* 20 */
pixa = pixaCreate(2);
pixaAddPix(pixa, pix1, L_INSERT);
pixaAddPix(pixa, pix2, L_INSERT);
if (rp->display) {
pixd = pixaDisplayTiledInRows(pixa, 32, 1500, 1.0, 0, 20, 2);
pixDisplayWithTitle(pixd, 400, 600, NULL, 1);
pixDestroy(&pixd);
}
pixaDestroy(&pixa);
boxDestroy(&box1);
numaDestroy(&na1);
numaDestroy(&na2);
pixDestroy(&pixs);
/* Again on a different image */
pix1 = pixRead("boxedpage.jpg");
pix2 = pixConvertTo8(pix1, 0);
pixGetDimensions(pix2, &w, &h, NULL);
na1 = pixVarianceByRow(pix2, NULL);
pix3 = pixConvertTo32(pix1);
pixRenderPlotFromNumaGen(&pix3, na1, L_VERTICAL_LINE, 3, 0, 70, 1,
0xff000000);
na2 = pixVarianceByColumn(pix2, NULL);
pixRenderPlotFromNumaGen(&pix3, na2, L_HORIZONTAL_LINE, 3, bh - 1, 70, 1,
0x00ff0000);
regTestWritePixAndCheck(rp, pix3, IFF_PNG); /* 21 */
numaDestroy(&na1);
numaDestroy(&na2);
/* Again, with an erosion */
pix4 = pixErodeGray(pix2, 3, 21);
na1 = pixVarianceByRow(pix4, NULL);
pix5 = pixConvertTo32(pix1);
pixRenderPlotFromNumaGen(&pix5, na1, L_VERTICAL_LINE, 3, 30, 70, 1,
0xff000000);
na2 = pixVarianceByColumn(pix4, NULL);
pixRenderPlotFromNumaGen(&pix5, na2, L_HORIZONTAL_LINE, 3, bh - 1, 70, 1,
0x00ff0000);
regTestWritePixAndCheck(rp, pix5, IFF_PNG); /* 22 */
pixa = pixaCreate(2);
pixaAddPix(pixa, pix3, L_INSERT);
pixaAddPix(pixa, pix5, L_INSERT);
if (rp->display) {
pixd = pixaDisplayTiledInRows(pixa, 32, 1500, 1.0, 0, 20, 2);
pixDisplayWithTitle(pixd, 800, 600, NULL, 1);
pixDestroy(&pixd);
}
pixaDestroy(&pixa);
pixDestroy(&pix1);
pixDestroy(&pix2);
pixDestroy(&pix4);
numaDestroy(&na1);
numaDestroy(&na2);
/* -------------------------------------------------------------------*
* Windowed variance along a line *
* -------------------------------------------------------------------*/
pix1 = pixRead("boxedpage.jpg");
pix2 = pixConvertTo8(pix1, 0);
pixGetDimensions(pix2, &w, &h, NULL);
pix3 = pixCopy(NULL, pix1);
/* Plot along horizontal line */
pixWindowedVarianceOnLine(pix2, L_HORIZONTAL_LINE, h / 2 - 30, 0,
w, 5, &na1);
pixRenderPlotFromNumaGen(&pix1, na1, L_HORIZONTAL_LINE, 3, h / 2 - 30,
80, 1, 0xff000000);
pixRenderPlotFromNuma(&pix3, na1, L_PLOT_AT_TOP, 3, 60, 0x00ff0000);
pixRenderPlotFromNuma(&pix3, na1, L_PLOT_AT_BOT, 3, 60, 0x0000ff00);
/* Plot along vertical line */
pixWindowedVarianceOnLine(pix2, L_VERTICAL_LINE, 0.78 * w, 0,
h, 5, &na2);
pixRenderPlotFromNumaGen(&pix1, na2, L_VERTICAL_LINE, 3, 0.78 * w, 60,
1, 0x00ff0000);
pixRenderPlotFromNuma(&pix3, na2, L_PLOT_AT_LEFT, 3, 60, 0xff000000);
pixRenderPlotFromNuma(&pix3, na2, L_PLOT_AT_RIGHT, 3, 60, 0x00ff0000);
regTestWritePixAndCheck(rp, pix1, IFF_PNG); /* 23 */
regTestWritePixAndCheck(rp, pix3, IFF_PNG); /* 24 */
pixa = pixaCreate(2);
pixaAddPix(pixa, pix1, L_INSERT);
pixaAddPix(pixa, pix3, L_INSERT);
if (rp->display) {
pixd = pixaDisplayTiledInRows(pixa, 32, 1500, 1.0, 0, 20, 2);
pixDisplayWithTitle(pixd, 1200, 600, NULL, 1);
pixDestroy(&pixd);
}
pixaDestroy(&pixa);
pixDestroy(&pix2);
numaDestroy(&na1);
numaDestroy(&na2);
return regTestCleanup(rp);;
}
