@article {471,
	title = {A fast method to determine co-occurrence texture features},
	journal = {IEEE Transactions on Geoscience and Remote Sensing},
	volume = {36},
	year = {1998},
	pages = {298 - 300},
	abstract = {<p>A critical shortcoming of determining texture features derived from grey-level co-occurrence matrices (GLCM\&$\#$39;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</p>
},
	keywords = {co-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},
	doi = {http://dx.doi.org/10.1109/36.655338},
	author = {D A. Clausi and E Jernigan}
}
