[Insight-users] Submission: Texture calculation classes

[Zachary Pincus]

Hello all,

I've finished work on a set of classes for computing texture 
descriptions from N-dimensional scalar images.

These classes compute grey-level co-occurence matrices -- which measure 
pairwise pixel intensity combinations at various offsets -- and texture 
descriptors derived from those matrices (a la Haralick 79).

Texture (as calculated by these classes) has recently been used quite 
successfully as a descriptive feature for classification of medical and 
biological images, in addition to its storied history elsewhere in 
image analysis.

I think that they would be useful for inclusion in ITK, given that over 
this list there have been several recent requests for ways of getting 
at textural information.

Thanks,
Zach Pincus

Department of Biochemistry and Program in Biomedical Informatics
Stanford University School of Medicine


Texture references:
http://www.cssip.uq.edu.au/meastex/www/algs/algs/algs.html
http://www.ucalgary.ca/~mhallbey/texture/texture_tutorial.html

Haralick, R.M. 1979. Statistical and Structural Approaches to Texture. 
Proceedings of the IEEE, 67:786-804.

R.W. Conners and C.A. Harlow. A Theoretical Comaprison of Texture 
Algorithms. IEEE Transactions on Pattern Analysis and Machine 
Intelligence,  2:204-222, 1980.


-------------- next part --------------
A non-text attachment was scrubbed...
Name: GLCM code.tgz
Type: application/x-gzip
Size: 15821 bytes
Desc: not available
Url : http://public.kitware.com/pipermail/insight-users/attachments/20040622/8821be95/GLCMcode.bin
-------------- next part --------------