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《Journal of Communication University of China(Science and Technology)》 2011-03
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Digital Image Edge Detection Algorithm Based on Graph Theory

ZHANG Bin,YUAN Cong-xin,SI Xuan,JIN Fei(School of Science,Communication University of China,Beijing 100024)  
Based on graph theory technique of edge detection image segmentation in recent years the field of international to a new research focus.Introduced with the knowledge of graph theory methods to detect image edge,the image is mapped to the right with a directed graph,according to the image edge features-gray-scale discontinuity,the continuity of this feature is not as light weight function,by searching low-cost path to detect the image edges,the starting point in the search process can remove isolated noise,the detected image edge clear.With the classical edge detection operator-Laplace operator to compare,and after simulation shows that graph-based edge detection algorithm is a combination of global and localized,and has anti-noise and edge detection timeliness.
【CateGory Index】: TP391.41
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