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《Journal of Circuits and Systems》 2003-06
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An Improved Method for Texture Segmentation Based on Gabor Filters

LI Hou-qiang, WANG Chao, YE Zhong-fu, WANG Jin-song ( Department of Electrical Engineering & Information Science, University of Science & Technology of China, Hefei 230027, China )  
Performance of Gabor filters and the principle of applying them to texture segmentation are extensively discussed. To overcome the limitation of existing Gabor-filter-based texture segmentation methods, an improved method is proposed. According to this method, Gabor filters are constructed in accordance with the spectrum feature vector of texture as to segment the images effectively. Experiment results show that the effect of segmentation by means of this improved method is better than that of the existing methods.
【CateGory Index】: TN713
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