/*----------------------------------------------------------------------------*/
int gauss_frame(my1IFrame *src, my1IFrame *dst, float sigma, float *over)
{
my1Kernel kernel;
/* computing MY 2D gaussian smoothing kernel */
int loop = 0, loop2, index = 0;
float temp = 1.0, corner;
float mult, value;
while(temp>THRESH)
{
temp = fgaussian2d(loop,loop,sigma);
corner = temp;
loop++;
}
value = 1.0/corner;
int windowsize = (loop*2)-1;
int count = windowsize/2;
int length = windowsize*windowsize;
float *pcoeff = (float*) malloc(length*sizeof(float));
if(pcoeff==0x0)
return -1;
for(loop=0;loop<windowsize;loop++)
{
for(loop2=0;loop2<windowsize;loop2++)
{
if(over)
mult = value * (int)fgaussian2d(loop-count, loop2-count, sigma);
else
mult = fgaussian2d(loop-count, loop2-count, sigma);
pcoeff[index++] = mult;
}
}
if(over) *over = value;
if(createkernel(&kernel,windowsize)==0x0)
{
free(pcoeff);
return -1;
}
setkernel(&kernel, pcoeff);
kernel.orig_x = count;
kernel.orig_y = count;
free(pcoeff);
correlate_frame(src, dst, &kernel);
freekernel(&kernel);
return 0;
}
/*----------------------------------------------------------------------------*/
int main(int argc, char* argv[])
{
int loop, test, windowsize, count;
float temp;
double *pkernel, *gkernel, *dkernel;
double corner, thresh = 1.0/256.0, sigma = 1.0, sumall = 1.0;
for(loop=1;loop<argc;loop++)
{
if(strncmp(argv[loop],"-t",2)==0)
{
if(get_param_int(argc,argv,&loop,&test)<0)
{
printf("Cannot get threshold value?\n");
return -1;
}
thresh = 1.0/(double)test;
}
else if(strncmp(argv[loop],"-s",2)==0)
{
if(get_param_float(argc,argv,&loop,&temp)<0)
{
printf("Cannot get sigma value?\n");
return -1;
}
sigma = (double)temp;
}
}
loop=0;
do
{
corner = fgaussian2d(loop,loop,sigma);
if(corner>thresh)
{
sumall = corner;
loop++;
}
else
{
corner = sumall;
break;
}
}
while(1);
printf("Gaussian kernel build parameters:\n");
printf(" Sigma: %lf, Threshold: %lf, Corner: %lf\n",sigma,thresh,corner);
windowsize = (loop*2)-1;
count = windowsize/2;
gkernel = (double*) malloc(windowsize*windowsize*sizeof(double));
dkernel = (double*) malloc(windowsize*sizeof(double));
printf("Gaussian 1D kernel\n");
pkernel = dkernel; sumall = 0.0;
for(loop=0;loop<windowsize;loop++)
{
*pkernel = fgaussian1d(loop-count,sigma);
sumall += *pkernel;
pkernel++;
}
pkernel = dkernel;
for(loop=0;loop<windowsize;loop++)
{
*pkernel /= sumall;
printf(" %.6lf ",*pkernel);
pkernel++;
}
printf("\n");
printf("Gaussian 2D kernel from 1D!\n");
for(loop=0;loop<windowsize;loop++)
{
for(test=0;test<windowsize;test++)
{
printf(" %.6lf ",(dkernel[loop]*dkernel[test]));
}
printf("\n");
}
printf("Gaussian 2D kernel (%dx%d)\n",windowsize,windowsize);
pkernel = gkernel; sumall = 0.0;
for(loop=0;loop<windowsize;loop++)
{
for(test=0;test<windowsize;test++)
{
*pkernel = fgaussian2d(loop-count, test-count, sigma);
sumall += *pkernel;
pkernel++;
}
}
corner /= sumall;
// normalize and show it!
pkernel = gkernel;
for(loop=0;loop<windowsize;loop++)
{
for(test=0;test<windowsize;test++)
{
*pkernel /= sumall;
printf(" %.6lf ",*pkernel);
pkernel++;
}
printf("\n");
}
printf("Gaussian 2D kernel (1/%d)\n",(int)(1.0/corner));
pkernel = gkernel;
for(loop=0;loop<windowsize;loop++)
{
for(test=0;test<windowsize;test++)
{
printf(" %6d ",(int)((*pkernel)/corner));
pkernel++;
}
printf("\n");
}
free(dkernel);
free(gkernel);
return 0;
}
