Which techniques can be applied instead of histogram binning?
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Hi I read a paper using latent dirichlet allocation (LDA), which author has created the intensity intervals for images to create the words ( intensity intervals), and the number pixels that fall into each interval (bin) is counted.However, this leads to poor performance in detecting low-contrast pixel intensities. My question is which technique can be used instead of histogram binning, how we can address this issue? I really do not know how we can tackle with this?
Your help is appreciated :)
Many thanks
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Image Analyst
il 1 Mar 2016
The low contrast pixels are there (not missing from the image), so what do you mean by "detecting low-contrast pixel intensities"? Contrast as computed over what region or window size? Why is a histogram needed? Why not just take the Laplacian of the image, with conv2(), and find values close to zero?
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