Fuzzy rule-based boundary enhancement algorithm for noisy images

노이즈가 포함된 화상에서 경계 추출을 위한 훠지 룰 베이스드 알고리즘

This paper represents a new edge relaxation algorithm that enhances the noisy boundary informations in images. The proposed algorithm employes relaxation process that reduces or eliminates ambiguities of derivative operator response via contextual informations. The contextual informations are the neighborhood patterns of a central edge which are estimated using fuzzy pattern matching technique. The algorithm is developed on crack edges. Experimental results show that the proposed scheme is effective even for noisy images or low contrast images.