电子科技大学学报2011，Vol.40Issue(5)：759-764,6.DOI:10.3969/j.issn.1001-0548.2011.05.024
图像局部方向均值边缘检测算法
Novel Image Edge Detection Algorithm Based on Local Orientation Average
摘要
Abstract
According to the principle of the image edge formation, the image edges consist of the triangle edge and the ramp edge. Based on orientation average, this paper proposes a new image edge detection algorithm which segments the neighborhood of the center pixel into two semicircles along different direction and then calculates the difference of the mean values of the two semicircles. With the directions of maximum difference and the minimum difference, an edge magnitude response function is designed to judge the edge type of the pixel, the triangle edge or the ramp edge. For inhibiting the effects of the noise, this method adopts Gauss-smooth pre-filter which inhibits the noise in images effectively. The edge-detection fitness function combining omission ratio is designed. By utilizing the fitness function, the algorithm analyzes the relationship of the size of the smoothing filter and the radius of the neighborhood of the center pixel. Experimental results show that the algorithm has good precision, and to a certain extent, inhibits the effects of noise on edge detection.关键词
边缘方向/边缘评价/边缘幅度响应/边缘类型/方向均值Key words
edge direction/ edge evaluation/ edge magnitude response function/ edge type/ orientation average分类
信息技术与安全科学引用本文复制引用
郑秀清,何坤,周激流..图像局部方向均值边缘检测算法[J].电子科技大学学报,2011,40(5):759-764,6.基金项目
四川省教育厅项目(09zB067) （09zB067）
