微型机与应用2012，Vol.31Issue(8)：38-40,3.
基于非下采样Contourlet变换和形态学的图像边缘检测
Image edge detection based on NSCT and mathematical morphology
摘要
Abstract
In the process of complicated workpiece edge detection,the interruption of noise and the lost of details will cause dramatic error in the detection result.To solve this problem,a novel edge detection algorithm by combining non-sub-sampled Contourlet transform（NSCT） and mathematical morphology is proposed in this paper.Firstly,multi-scale decomposition of the image is performed with NSCT.Then,the edge detection of low-frequency sub-image and high-frequency sub-image are obtained.Finally,the image edge is obtained by reasonable fusion rule.Simulation results show that this algorithm can extract more image edge details than other algorithm and it also has good continuity,anti-noise performance and robustness.关键词
非下采样Contourlet变换/数学形态学/边缘检测/多尺度分解/融合规则Key words
NSCT/mathematical morphology/edge detection/multi-scale decomposition/fusion rule分类
信息技术与安全科学引用本文复制引用
刘静寒,鲁昌华,刘玉娜..基于非下采样Contourlet变换和形态学的图像边缘检测[J].微型机与应用,2012,31(8):38-40,3.基金项目
安徽省08年重点科技攻关项目 （）
