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A comparative study of filter based texture operators using Mahalanobis distance

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3 Author(s)
Grigorescu, S.E. ; Dept. of Math. & Comput. Sci., Groningen Univ., Netherlands ; Petkov, N. ; Kruizinga, P.

Texture feature extraction operators, which comprise linear filtering, eventually followed by post-processing, are considered. The filters used are Laws' masks (1980), filters derived from well-known discrete transforms, and Gabor filters. The post-processing step comprises nonlinear point operations and/or local statistics computation. The performance is measured by means of the Mahalanobis distance between clusters of feature vectors derived from different textures. The results show that post-processing improves considerably the performance of filter based texture operators

Published in:

Pattern Recognition, 2000. Proceedings. 15th International Conference on  (Volume:3 )

Date of Conference:

2000