Hi, this is my code below:

Code:

void
CLEO_MedivisionView::OnToolsHistogramequalization() {
int i;
unsigned int array1[256];
unsigned int cdf[256];
unsigned int arrayhe[256];
//** Step 1 **\\
for (i=0;i<256;i++) // count each distinct pixel value in the image
{
array1[i]=0;
}
if (no_of_rows == 512 && no_of_cols == 512) {
for (i=0; i<262144; i++) {
array1[image[i]]++;
}
}
else if (no_of_rows == 256 && no_of_cols == 256) {
for (i=0; i<65536; i++) {
array1[image256[i]]++;
}
}
//** Step 2 **\\
for (i=0; i<256; i++) {
cdf[i]=0;
}
cdf[0] = array1[0];
// finding cumulative distribution
for (i=1; i<256; i++) {
cdf[i] = array1[i] + cdf[i-1];
}
for (i=0; i<256; i++) // applying the HE algorithm
{
arrayhe[i] = (cdf[i]*255/262144)+0.5;
}

as u can see, this set of codes is done as histogram equalization of an image. the current image i used for testing is a 512*512 image and its in 8-bit.. so im sure the algorithm is correct because the cdf[] did return me the cumulative values and the values in arrayhe[] seems probable too.. right now im not too sure how to transfer this value in arrayhe[], containing the new intensity values, to the

**OLD IMAGE.. **im on the verge to complete this project so a decent help would be much appreciated