关键词: 边缘检测, 模糊, 隶属度, 柔性形态学, 检测算子

Abstract: An improved image edge detection method based on fuzzy theory and soft morphology is proposed.Firstly，an efficient membership function is chosen in ambiguity domain，and the fuzzy computational region is extruded by the concept of generalized fuzzy set，to increase the gray contrast of the edge.Then soft morphological nature and properties are used to choose a more efficient detector and structuring elements.Finally an ideal edge is got under the noise environment.Compared with other detectors this algorithm reserves more details of the edge with greater de-noising ability，and it has practicality and feasibility.

Key words: edge-detection, fuzzy, membership, soft morphology, detection algorithm