关键词: 边缘检测算子, Ostu算法, 数学形态学, 结构元素模板, 自适应

Abstract: The edge detection is the basic problem of image processing and computer vision. In order to capture objects’ main features effectively, this paper puts forward a novel edge detection algorithm using Ostu’s threshold selection method and mathematical morphology for gray-level images. The new algorithm uses Ostu’s method to select a optimal threshold, transforms gray image to binary image based on the threshold, then constructs four structuring elements of 3×3 and 5×5 templates of different directions, uses these templates to erode the binary image based on mathematical morphology. It balances the erosion results adaptively and detects the edge. The results and analysis indicate that the new algorithm is simple and detects a clear and continuous edge, extracts much edge information included in the images, meanwhile, the anti noise performance is better than the classical algorithm as well as false edges are less and it is great applicability.

Key words: edge detection algorithm, Ostu’s algorithm, mathematical morphology, structuring element templates, adaptive