Unsupervised texture segmentation using matched gabor filters

Haiyang Wang; Yan Bai; Xiaoyu Zhang; Delu Pan

doi:10.1117/12.627408

18 October 2005 Unsupervised texture segmentation using matched Gabor filters

Haiyang Wang, Yan Bai, Xiaoyu Zhang, Delu Pan

Proceedings Volume 5982, Image and Signal Processing for Remote Sensing XI; 59821D (2005) https://doi.org/10.1117/12.627408
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

Abstract

A simple and fast multi-channel filtering algorithm is presented in the paper for texture segmentation. This algorithm requires only a small number of channels and automatically determines the channel parameters by analysis of the Fourier power spectrum. Also it does not need a priori knowledge about the type and number of textures occurring in the input images. We can gain categories number by the square-error plot of different clusters. It does not involve any human intervention. The algorithm is tested extensively with a variety of Brodatz's textures and real textures. The segmentation results validate the practicability of this algorithm.

Citation Download Citation

Haiyang Wang, Yan Bai, Xiaoyu Zhang, and Delu Pan "Unsupervised texture segmentation using matched Gabor filters", Proc. SPIE 5982, Image and Signal Processing for Remote Sensing XI, 59821D (18 October 2005); https://doi.org/10.1117/12.627408

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