How to determine spatial color contrast and error for a resultant image

Hi, The answer will be useful for evaluating the segmentation that i use K means clustering algorithm

Answer 1

[Image Analyst]

I'm not sure of your definition of spatial color contrast, but you could construct a delta E image. Convert the image from RGB to LAB with makecform. Then convolve each L, A, and B image with a kernel like [1 1 1; 1 0 1; 1 1 1]/8 to get the average L, A, or B in the 8 neighbors surrounding each pixel. Then calculate deltaL image, deltaA image, and the deltaB image by subtracting the convolved image from the original LAB image. Square then add them all together and take the square root. That will give you an image which is the Delta E (color difference) between each pixel and it's neighbors. Would that be what you were thinking of?

[Image Analyst]

parveen, I haven't heard back from you. I now have a demo of this. If you want me to post it, just say so.

[parveen regina]

Hi,I am trying out this and please send your demo that might me useful for me Thank You,

[Image Analyst]

It's here: spatial delta E demo