평균 곡률과 가우시안 곡률의 상호 셥동 이완 알고리즘을 이용한 거리 영상의 분할과 분류

Range image segmentation and classiication using cooperative relaxational algorithm between H-K curvatures

  • 정인갑 (경북도립 예천전문대학 전자과) ;
  • 김용석 (경북대학교 전자전기) ;
  • 현기호 (영산산업대학교 컴퓨터공학과) ;
  • 이응주 (동명정보대학교 정보통신공학과) ;
  • 하영호 (경북대학교 전자전기)
  • 발행 : 1997.08.01

초록

The range image is divided into surface regions which are homogeneous in their intrinsic properties. In this paper, we use cooperative relaxational algorithm between curvatures to escape local minima and choose optimal possibility to reserve edge. Cooperative relaxational algorithm between curvatures is relaxation process in which weights of center pixel;s and neighbor pixel's possiblility are determined adaptively by using deviation of curvatures. Experimental resutls show that the proposed method segments and classifies the range images more accurately compared to the other relational algorithms.

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