现代电子技术Issue(8)：1-3,7,4.
分区均值的自适应噪声图像边缘检测算法
Subzone mean adaptive edge detection algorithm for noisy images
摘要
Abstract
In view of contradiction between detection accuracy and noise suppression of edge detection algorithm,a new edge detection algorithm is proposed. In the algorithm,the detection window is divided into two subzones in each direction of 0º,45º,90º and 135º. The number of pulse noise points in detection window of 3 × 3 is counted. If the point number is more than 3,the detection window size is extended to 5 × 5. For two subzones in each direction of detection window,the mean gray value of non⁃noise points in every subzone is calculated respectively. The absolute value of the two mean values′ difference is taken as direction gradient value to acquire the gradient of center point,and then the improved non⁃maximum suppression meth⁃od is used to refine gradient image and extract the image edge. The experiment results show that directionality of the image edge detected by the new algorithm is well and the edge is fine,and the algorithm can suppress different degree impulse noise and has a certain suppression effect on Gaussian noise and strong adaptability.关键词
边缘检测/噪声图像/分区/自适应Key words
edge detection/noisy image/subzone/adaptability分类
信息技术与安全科学引用本文复制引用
沈德海,侯建,鄂旭,张龙昌..分区均值的自适应噪声图像边缘检测算法[J].现代电子技术,2015,(8):1-3,7,4.基金项目
国家自然科学基金资助项目基于博弈论的高效稳定聚类算法研究（61473045）；博士后基金项目（2012M520158）；辽宁省“百千万人才工程”资助项目（2012921058）；辽宁省高等学校实验室项目（L2012397）；教育厅科研一般项目 （）
