In the paper by Le Moan et al. "Saliency for Spectral Image Analysis" , Mutual Saliency term is used. I am confused that how to write it's complete MATLAB code and what do the results exactly represent?
Haris,
The saliency of an object or a pixel, etc. – is the state or quality by which it stands out relative to its neighbors. Saliency typically arises from contrasts between objects and their neighborhood, such as a red dot surrounded by white dots, or a noise in an otherwise quiet environment.
Try Kullback Leibler Distance for mutual information gain or loss between two images. You may refer to my paper.
Thanks for your response. I am not asking about saliency, but asking about quantitative analysis of results by using normalized mutual information. I want to compare the results obtained different techniques
Please refer to Section III.C and Equation (5) in our paper "Saliency for Spectral Image Analysis" for a detailed explanation on how to compute this term. The normalized mutual information is simply used as a means to compare the two saliency maps and measure their divergence. Mutual saliency represents the extent to which the spectral and/or visual saliency of both images correlate.
regards
The comparison is made on which basis ? In your paper , pseudo color image gives best result but that result is compared with which image ? I am confused about it.
The MS result of true color's saliency map is obtained after comparison with which image ?
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