how to find local maxima in image
The question is about feature detection concept. I'm stuck after I finding the corner of image and I want to know how to finding the feature point within the computed corners. Suppose I have grayscale image that have data like this A = [ 1 1 1 1 1 1 1 1; 1 3 3 3 1 1 4 1; 1 3 5 3 1 4 4 4; 1 3 3 3 1 4 4 4; 1 1 1 1 1 4 6 4; 1 1 1 1 1 4 4 4] if I use B = imregionalmax(A); the result would be like this B = [ 0 0 0 0 0 0 0 0; 0 1 1 1 0 0 1 0; 0 1 1 1 0 1 1 1; 0 1 1 1 0 1 1 1; 0 0 0 0 0 1 1 1; 0 0 0 0 0 1 1 1] The question is how do I pick the highest peak inside max local region (in sample how did I