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Optimal Gator-filter Design for Multiple Texture Image Segmentation  

Lee, U-Beom (Dept.of Computer Engineering, Daegu Technology College)
Kim, Uk-Hyeon (Dept.of Computer Engineering, Yeungnam University)
Publication Information
Abstract
The design of optimal filter yielding optimal texture feature separation is a most effective technique in many torture analyzing areas, such as perception of surface, object, shape and depth. But, most optimal filter design approaches are restricted to the issue of computational complexity and supervised problems. In this paper, Our proposed method yields new insight into the design of optimal Gabor filters for segmenting multiple texture images. The optimal frequency of Gator filter is turned to the optimal frequency of the distinct texture in frequency domain. In order to show the performance of the designed filters, we have attempted to build a various texture images. Our experimental results show that the performance of the system is very successful.
Keywords
Texture analysis; optimal filter; Gabor function; spatial frequency; optimal frequency;
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Times Cited By KSCI : 2  (Citation Analysis)
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