대한전자공학회논문지SP (Journal of the Institute of Electronics Engineers of Korea SP)

대한전자공학회 (The Institute of Electronics and Information Engineers)
권호 표지

다중 텍스쳐 영상 분할을 위한 최적 가버필터의 설계

Optimal Gator-filter Design for Multiple Texture Image Segmentation

  • 이우범 (대구과학대학 컴퓨터공학과) ;
  • 김욱현 (영남대학교 컴퓨터공학과)
  • Lee, U-Beom (Dept.of Computer Engineering, Daegu Technology College) ;
  • Kim, Uk-Hyeon (Dept.of Computer Engineering, Yeungnam University)
  • 발행 : 2002.05.01
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초록

다중 텍스쳐 영상으로부터 최적의 텍스쳐 특징을 생성하는 최적 필터 설계는 표면, 물체, 모양, 깊이 인식 등을 위한 텍스쳐 분석에 있어서 가장 성능이 뛰어난 기술 중의 하나이다. 그러나 대부분의 최적 필터설계는 많은 복잡한 계산량과 교사적 특성에 의해서 효율적인 텍스쳐 영역의 분할을 수행하지 못하는 실정이다. 따라서 본 논문에서는 다중 텍스쳐 영상에 내재하는 각 텍스쳐들의 공간 주파수 분석에 의한 효율적인 최적 가버필터 설계 방법을 제시한다. 설계된 최적 필터는 "Brodaz texture book"서 발췌한 다양한 형태의 다중 텍스쳐 영상을 생성하여 실험한 후 성공적인 결과를 보인다.

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.

키워드

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