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A fast method to determine co-occurrence texture features

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2 Author(s)
Clausi, D.A. ; Dept. of Geomantics Eng., Calgary Univ., Alta., Canada ; Jernigan, M.E.

A critical shortcoming of determining texture features derived from grey-level co-occurrence matrices (GLCM's) is the excessive computational burden. This paper describes the implementation of a linked-list algorithm to determine co-occurrence texture features far more efficiently. Behavior of common co-occurrence texture features across difference grey-level quantizations is investigated

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Geoscience and Remote Sensing, IEEE Transactions on  (Volume:36 ,  Issue: 1 )