false coloring of grayscale image
Hello,
I have a grayscale image to which I want to apply false coloring.
Below is a chunk of my code where I loop through all rows and cols of my matrix (matProcessed). For each pixel value, I lookup the desired RGB values from the user's pre-defined lookup table, and then overwrite the pixel in matProcessed accordingly. This all works just fine, except that all underlying intensity information in the original grayscale image is lost when a range of intensity values is simply replaced with a color. I think what I need is more like what the hue/saturation/colorize function in Photoshop would do, where I can colorize a range of grayscale pixels while retaining the underlying variation in intensity of the grayscale values. So how do I do that?
// I first convert to BGR to colorize:
cvtColor(matProcessed, matProcessed, CV_GRAY2BGR);
int iPxVal=0;
int index;
int R=0;
int G=0;
int B =0;
for(int i=0; i<matProcessed.rows; i++){
for(int j=0; j<matProcessed.cols; j++){
index = matProcessed.channels()*(matProcessed.cols*i + j);
// grab the grayscale pixel value:
iPxVal = matProcessed.data[index + 0];
// lookup user defined RGB value:
GetColorFromLUT(iPxVal, &R, &G, &B);
// R, G and B now hold my RGB values the user desires.
matProcessed.data[index + 0] = color.blue();
matProcessed.data[index + 1] = color.green();
matProcessed.data[index + 2] = color.red();
}
}
Thanks!
