基于改进Canny算子的图像边缘检测算法  

Image Edge Detection Algorithm Based on Improved Canny Operator

作　　者：王小俊[1] 刘旭敏[1] 关永[1] 

机构地区：[1]首都师范大学信息工程学院,北京100048

出　　处：《计算机工程》2012年第14期196-198,202,共4页Computer Engineering

基　　金：国家自然科学基金资助项目(10978016);国家自然科学基金青年科学基金资助项目(60903141);北京市属高等学校人才强教计划基金资助项目

摘　　要：医学领域中的红细胞图像要求检测出细胞面积、圆度及个数等特征。针对该检测需求,提出一种基于改进Canny算子的图像边缘检测算法,采用迭代算法计算最佳高低双阈值,以数学形态法细化检测出的图像。实验结果表明,该算法可减少干扰边缘和噪声的影响,能突显医学细胞图像的检测特征。Referring to the image which is in the medical field, and similar to the medical image as red blood cells needs to detect cell size, roundness, and number of other features detection requirements, this paper proposes an image edge detection algorithm based on improved Canny operator. It calculates the optimal high and low dual-threshold through iteration arithmetic, and uses mathematical morphology to detect image thinning. Experimental results prove that this algorithm can effectively reduce interference and noise edge, and make more prominent detection characteristics of medical cell image.

关 键 词：边缘检测 红细胞图像 CANNY算子 迭代算法 数学形态法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]