A study on the Image Edge Enhancement Detection of the Hybrid FCNN using the Morphological Operations

형태학 연산자를 이용한 하이브리드 FCNN의 영상 에지 고양 검출에 관한 연구

  • 홍연희 (원광대학교 공과대학 전자공학과) ;
  • 변오성 (원광대학교 공과대학 전자공학과) ;
  • 조수형 (원광대학교 공과대학 전자공학과) ;
  • 문성룡 (원광대학교 공과대학 전자공학과)
  • Published : 1999.06.01

Abstract

After detecting the edge which is applying the morphological operators to the hybrid FCNN, we could analyze and compare. The hybrid FCNN is completely removed to the noise in the image, and worked in order to obtain the result image which is closest to the original image. Also, the morphological operator is applied to the image as the method in order to detect more good the edge than the conventional edge. FCNN which is the pipeline type is completely suitable to detecting the image processing as well as the hardware size. In this paper. we would make the structure elements of the morphological operator the variable template and the static template, and compare with the edge enhancement of two images. After being the result which is applying the variable template morphological operator and the static template morphological operator to the image, we could know that the edge images applying the variable template is superior in a edge enhancement side.

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