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Improving texture pattern recognition by integration of multiple texture feature extraction methods

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2 Author(s)
Garcia, M.A. ; Dept. of Comput. Sci. & Math., Rovira i Virgili Univ., Tarragona, Spain ; Puig, D.

This paper proposes a pixel-based texture classifier that integrates multiple texture feature extraction methods in order to identify the regions of an input image that belong to a given set of texture patterns. Experimental results with textured images of outdoor scenes show that the proposed technique yields lower classification errors than widely recognized texture classifiers based on specific families of texture methods.

Published in:

Pattern Recognition, 2002. Proceedings. 16th International Conference on  (Volume:3 )

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