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Proceedings Paper

Unsupervised texture segmentation using matched gabor filters
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Paper 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.

Paper Details

Date Published: 18 October 2005
PDF: 12 pages
Proc. SPIE 5982, Image and Signal Processing for Remote Sensing XI, 59821D (18 October 2005); doi: 10.1117/12.627408
Show Author Affiliations
Haiyang Wang, Nanjing Univ. of Science and Technology (China)
Second Institute of Oceanography of State Oceanic Administration (China)
Yan Bai, Second Institute of Oceanography of State Oceanic Administration (China)
Xiaoyu Zhang, Second Institute of Oceanography of State Oceanic Administration (China)
Delu Pan, Second Institute of Oceanography of State Oceanic Administration (China)


Published in SPIE Proceedings Vol. 5982:
Image and Signal Processing for Remote Sensing XI
Lorenzo Bruzzone, Editor(s)

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