Fuzzy rule-based boundary enhancement algorithm for noisy images

Presents a new edge relaxation algorithm that enhances the noisy boundary informations in image. The proposed algorithm employs relaxation process that reduces or even 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