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/*====================================================================*
- Copyright (C) 2001 Leptonica. All rights reserved.
-
- Redistribution and use in source and binary forms, with or without
- modification, are permitted provided that the following conditions
- are met:
- 1. Redistributions of source code must retain the above copyright
- notice, this list of conditions and the following disclaimer.
- 2. Redistributions in binary form must reproduce the above
- copyright notice, this list of conditions and the following
- disclaimer in the documentation and/or other materials
- provided with the distribution.
-
- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
- ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
- LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
- A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL ANY
- CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
- EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
- PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
- PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
- OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
- NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*====================================================================*/
/*
* otsutest1.c
*/
#ifdef HAVE_CONFIG_H
#include <config_auto.h>
#endif /* HAVE_CONFIG_H */
#include <math.h>
#include "allheaders.h"
static const l_int32 NTests = 5;
static const l_int32 gaussmean1[5] = {20, 40, 60, 80, 60};
static const l_int32 gaussstdev1[5] = {10, 20, 20, 20, 30};
static const l_int32 gaussmean2[5] = {220, 200, 140, 180, 150};
static const l_int32 gaussstdev2[5] = {15, 20, 40, 20, 30};
static const l_float32 gaussfract1[5] = {0.2f, 0.3f, 0.1f, 0.5f, 0.3f};
static char buf[256];
static l_int32 GenerateSplitPlot(l_int32 i);
static NUMA *MakeGaussian(l_int32 mean, l_int32 stdev, l_float32 fract);
int main(int argc,
char **argv)
{
l_int32 i;
PIX *pix;
PIXA *pixa;
setLeptDebugOK(1);
lept_mkdir("lept/otsu");
for (i = 0; i < NTests; i++)
GenerateSplitPlot(i);
/* Read the results back in ... */
pixa = pixaCreate(0);
for (i = 0; i < NTests; i++) {
snprintf(buf, sizeof(buf), "/tmp/lept/otsu/plot.%d.png", i);
pix = pixRead(buf);
pixaAddPix(pixa, pix, L_INSERT);
snprintf(buf, sizeof(buf), "/tmp/lept/otsu/plots.%d.png", i);
pix = pixRead(buf);
pixaAddPix(pixa, pix, L_INSERT);
}
/* ... and save into a tiled pix */
pix = pixaDisplayTiledInColumns(pixa, 2, 1.0, 25, 0);
pixWrite("/tmp/lept/otsu/plot.png", pix, IFF_PNG);
pixDisplay(pix, 100, 100);
pixaDestroy(&pixa);
pixDestroy(&pix);
return 0;
}
static l_int32
GenerateSplitPlot(l_int32 i)
{
char title[256];
l_int32 split;
l_float32 ave1, ave2, num1, num2, maxnum, maxscore;
GPLOT *gplot;
NUMA *na1, *na2, *nascore, *nax, *nay;
/* Generate a fake histogram composed of 2 gaussians */
na1 = MakeGaussian(gaussmean1[i], gaussstdev1[i], gaussfract1[i]);
na2 = MakeGaussian(gaussmean2[i], gaussstdev1[i], 1.0 - gaussfract1[i]);
numaArithOp(na1, na1, na2, L_ARITH_ADD);
/* Otsu splitting */
numaSplitDistribution(na1, 0.08, &split, &ave1, &ave2, &num1, &num2,
&nascore);
lept_stderr("split = %d, ave1 = %6.1f, ave2 = %6.1f\n", split, ave1, ave2);
lept_stderr("num1 = %8.0f, num2 = %8.0f\n", num1, num2);
/* Prepare for plotting a vertical line at the split point */
nax = numaMakeConstant(split, 2);
numaGetMax(na1, &maxnum, NULL);
nay = numaMakeConstant(0, 2);
numaReplaceNumber(nay, 1, (l_int32)(0.5 * maxnum));
/* Plot the input histogram with the split location */
snprintf(buf, sizeof(buf), "/tmp/lept/otsu/plot.%d", i);
snprintf(title, sizeof(title), "Plot %d", i);
gplot = gplotCreate(buf, GPLOT_PNG,
"Histogram: mixture of 2 gaussians",
"Grayscale value", "Number of pixels");
gplotAddPlot(gplot, NULL, na1, GPLOT_LINES, title);
gplotAddPlot(gplot, nax, nay, GPLOT_LINES, NULL);
gplotMakeOutput(gplot);
gplotDestroy(&gplot);
numaDestroy(&na1);
numaDestroy(&na2);
/* Plot the score function */
snprintf(buf, sizeof(buf), "/tmp/lept/otsu/plots.%d", i);
snprintf(title, sizeof(title), "Plot %d", i);
gplot = gplotCreate(buf, GPLOT_PNG,
"Otsu score function for splitting",
"Grayscale value", "Score");
gplotAddPlot(gplot, NULL, nascore, GPLOT_LINES, title);
numaGetMax(nascore, &maxscore, NULL);
numaReplaceNumber(nay, 1, maxscore);
gplotAddPlot(gplot, nax, nay, GPLOT_LINES, NULL);
gplotMakeOutput(gplot);
gplotDestroy(&gplot);
numaDestroy(&nax);
numaDestroy(&nay);
numaDestroy(&nascore);
return 0;
}
static NUMA *
MakeGaussian(l_int32 mean, l_int32 stdev, l_float32 fract)
{
l_int32 i, total;
l_float32 norm, val;
NUMA *na;
na = numaMakeConstant(0.0, 256);
norm = fract / ((l_float32)stdev * sqrt(2 * 3.14159));
total = 0;
for (i = 0; i < 256; i++) {
val = norm * 1000000. * exp(-(l_float32)((i - mean) * (i - mean)) /
(l_float32)(2 * stdev * stdev));
total += (l_int32)val;
numaSetValue(na, i, val);
}
lept_stderr("Total = %d\n", total);
return na;
}
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