Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Study on Color Image Edge detection Using Adaptive Morphological Wavelet-CNN Algorithm

적응 형태학적 WCNN 알고리즘을 이용한 컬러 영상 에지 검출 연구

  • Baek, Young-Hyun (Department of Electronic Engineering Wonkwang University) ;
  • Shin, Sung (Department of Electronic Engineering Wonkwang University) ;
  • Moon, Sung-Ryong (Department of Electronic Engineering Wonkwang University)
  • 백영현 (원광대학교 전자공학과) ;
  • 신성 (원광대학교 전자공학과) ;
  • 문성룡 (원광대학교 전자공학과)
  • Published : 2004.04.01
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Abstract

The digital color image can be distorted by noise for a transmission or other elements of system. It happens to vague of a boundary side in the division of a color image object, especially, boundary side of an input color image is very important because it can be determined to the division and detection element in pattern recognition. Therefore it is boundary part In this paper, it detects the optimal edge with applying this color image to WCNN algorithm, after it does level up a boundary side of a color image by using the adaptive morphology as the threshold of an input color image. Also, it is used not a conventional fixed mask edge detection method but variable mask method which is cal led a variable BBM. It is confirmed by simulation that the proposed algorithm can be got the batter result edge at the place of closing to each edges and having smoothly curved line.

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