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A fast method to determine co-occurrence texture features

TitleA fast method to determine co-occurrence texture features
Publication TypeJournal Article
Year of Publication1998
AuthorsClausi, D. A., and E. Jernigan
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume36
Issue298 - 300
Pagination298 - 300
Keywordsco-occurrence texture feature, fast method, Feature Extraction, geophysical measurement technique, geophysical signal processing, geophysical techniques, grey-level co-occurrence matrices, grey-level quantization, image feature, image processing, image texture, land surface, linked-list algorithm, occurrence matrix, Remote Sensing, terrain mapping
Abstract

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

DOI10.1109/36.655338