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《Acta Electronica Sinica》 2001-01
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Optimal Gabor Filter Design for Bi Textured Image Segmentation

WU Gao hong,ZHANG Yu jin,LIN Xing gang (Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)  
A new method for designing optimal Gabor filters is proposed,which aims at segmenting bi textured image with a single Gabor filter.It is known that the energy distribution of texture is centralized relatively in the frequency domain,but not focused on a single frequency component.Therefore,the optimal Gabor filter is designed by comparing the Fourier power spectrum density between two types of textures.Compared with other existing algorithms,the proposed algorithm requires less computational load and acquires better segmentation result.Moreover,a strategy to search the optimal filter with the help of the bandwidth parameter of Gabor filters is provided,which is matched with the perceptual property of human vision system and has great maneuverability.
【Fund】: 国家自然科学基金!(No .69672 0 2 9);; 清华大学信息学院基础创新研究基金!(No .EE990 6)
【CateGory Index】: TN713
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