关键词: 边缘检测, 数学形态学, 多结构元素, 多尺度, 二值化

Abstract: Edge detection is an essential pre-processing work in image segmentation and pattern recognition.The traditional methods such as Sobel，Prewitt，Canny and so on are useful and efficient but are sensitive to noise.Mathematical morphological edge detector is a heated researched field now.As it is known that general morphological methods adopt a single structure element.So they are difficult to detect complex edge feature.A novel multi-structure elements multi-scale morphological edge detection algorithm is proposed.Firstly the noise can be filtered by the alternative-order morphological open-close filter with a multi-scale element.Then different edge detection results by using multi-structure element morphological algorithm are extracted，and the final edge result is got by using synthetic weighted method.The experimental results showed that the proposed algorithm can filter noise successfully and is efficient for complex edge detection.

Key words: edge detection, mathematical morphology, multi-structure, multi-scale, binarization