http://imagej.273.s1.nabble.com/texture-analysis-tools-tp5011820p5011824.html
> I need to do some texture analysis. Features range in size from 1-5
> pixels wide. Ideally, I would like to:
>
> a) use 25x25 pixel blocks (centered on every pixel in a 1500x1500
> image) b) characterize the texture present in each 25x25 block
>
> I’m probably interested in using large-scale textures to DISQUALIFY a
> 25x25 block from further analysis, and measure small-scale texture in
> 25x25 blocks that appear uniform at the macro level. I’d be perfectly
> happy to generate many different derived images, representing a wide
> range of texture “dimension”.
>
> But…I’d rather not re-invent the world. I haven’t done any serious
> texture work in over 20 years, so I’m woefully out of touch. I’m
> looking for pointers to:
>
> a) a good review article describing the current state of theory, and
> b) (if available) an ImageJ set of tools designed specifically for
> this kind of analysis.
>
> All clues gratefully rented.
>
> [currently, I’m following previous work that used coefficient of
> variation (standard deviation divided by mean) over these 25x25
> blocks. But, this is confounded by regions where the 25x25 block
> straddles two very distinct regions in the image. I’m trying to
> improve things by rejecting blocks which show large-scale patches.
> Ideally, I want to measure high-frequency textures and ignore
> low-frequency patterns. At the moment, I’d be satisfied to simply
> reject blocks that exhibit low-frequency patterns, but with the right
> set of texture descriptors, I might be able to do slightly better.
> I’m not (yet) ready to do Fourier analysis on the blocks - I’d prefer
> to stay in the spatial domain - when I am ready, I’d have no problem
> moving to 32x32 blocks]
>
> -- Kenneth Sloan
[hidden email]
>
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http://imagej.nih.gov/ij/list.html>