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Texture image segmentation by optimal Gabor filters

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3 Author(s)
Saito, T. ; Inst. of Inf. Sci. & Electron., Tsukuba Univ., Ibaraki, Japan ; Kudo, H. ; Suzuki, S.

In this paper, we present a new texture image segmentation algorithm using multi-channel Gabor filters and fuzzy c-means clustering. We propose a design procedure of Gabor filter parameters for optimal discrimination of texture boundaries and a systematic iterative filter selection scheme to obtain the texture features of an input image. Based on the extracted texture features and the number of texture categories, the fuzzy c-means clustering algorithm is then used to identify the texture category. The experimental results indicate, that our proposed algorithm is much superior to the existing algorithm based on the log-octave filter bank paradigm

Published in:

Signal Processing, 1996., 3rd International Conference on  (Volume:1 )

Date of Conference:

14-18 Oct 1996