柔性形态边缘检测算法在菌类显微图像中的应用  

Study on Edge Detection of Fungus Micrograph by Histogram Equalization and Soft Mathematical Morphology

作　　者：于子翊[1] 李晓娟[1] 柏玲[1] 

机构地区：[1]首都师范大学信息工程学院,北京100037

出　　处：《首都师范大学学报（自然科学版）》2006年第2期20-23,共4页Journal of Capital Normal University：Natural Science Edition

基　　金：北京市教委科技项目(KM200510028015)

摘　　要：在灰度图像的柔性形态学概念及特性的基础上,根据菌类显微图像的边缘特点,提出了均衡化的柔性形态边缘检测方法.以霉菌图像为例,通过实验结果和传统的canny算子、LOG算子边缘提取结果进行对比,证明了算法的有效性,为菌类识别打下了良好的基础.In this paper, the algorithm of edge Detection by Histogram Equalization and Soft Mathematical Morphology is presented from the basic concepts and properties of soft mathematical morphology applicable to gray-scale image and the edge character of Fungus Micrograph. Taking mildew as example, the experimental results proved that the algorithm is efficient and can be satisfied in Fungus recognition, after compared to the traditional edges detection method such as canny and LOG operator.

关 键 词：边缘检测 柔性数学形态学 直方图均衡化 结构元素 

分 类 号：TN911.73[电子电信—通信与信息系统]