An Algorithm of Image Edge Detection Based on Grey System Theory

摘要：

The edges of an image are important information. Edge detection is the base of feature extraction, image analysis and comprehension. The quality of edge detection determines the performance of subsequent processing. The edge of an image stands for the discontinued information. We propos a new algorithm of image edge detection based on grey system theory in this paper, we calculate the relative degree of grey incidences between pixel with its neighbor and the ideal reference vector and then decide the edge property of the pixel Some discussion and experiments are performed. The result shows that this new algorithm is applicable and we can adjust the edge information through the setting of the threshold.

关键词： edge detection grey system theory relativedegree of grey incidences

作者: Yingjian Qi Qing Li Zhengpeng Wu Bin Zhang Ying Li

作者单位: School of Science, Communication University of China, Beijing, 100024, China Computer Science and Technology Communication University of China, Beijing, 100024, China

会议类型: 国际会议

会议名称: The Fourth International Joint Conference on Computational Science and Optimization(第四届计算科学与优化国际大会 CSO 2011)

会议地点: 昆明、丽江

会议语种:英文

页码: 835-837

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）