A New Algorithm Based on Multi-scale Order Morphology for Gray Image Edge Detection
In this paper, we present the basic concept of order-morphology and multi-scale structure elements. For gray image segmentation, we develop a new approach for edge detection by combining order-morphology and multi-scale structure elements. Here, the image is convolved with a set of multi-scale structure elements, after then sorted by order morphology, at last all the result images are integrated into one according to how much edge clues it reflects. Compared to traditional Laplacian, Robert and Canny edge detectors, the experiments show that this proceeding produces clearer and more continuous edges, particularly to noised pictures. It obtains good anti-noise capacity due to both order-morphology and multi-scale elements could suppress the influence of noise when detecting edges.
multi-scale order morphology edge detection
Zeng Pingping Zeng Binyang
Electronic Technology Department,Jiangxi Blue Sky University,330098,China Telecommunication and Information school,Nanchang University,330031,China
国际会议
西安
英文
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）