重庆理工大学学报：自然科学2012，Vol.26Issue(5)：94-100,122,8.
基于二值化增强的边缘检测算法
The Edge Detection Algorithm Based on Two-value Enhancement
摘要
Abstract
In this paper, an edge detection algorithm is proposed, whose first step is efficient two-val- ue enhancement of images, and the second one is the edge detection algorithm with constraints. The 1 st step of edge detection algorithm is designing a percentage filter to get the further smoothing and de- noising image. The 2nd step is seeking the standard deviation image and the two-value image by using Canny operator of the original image. The 3rd step is overlaying the three images. The 4th step is re- moving the connected region whose area is less than the threshold value. The last step is detecting the edge of mitochondrial by improved Canny operator. The edges of many mitochondrial electron micro- scope images are detected with classical operator and the designed enhancement algorithm proposed in the paper respectively. The experimental results show that the algorithm proposed in the paper is supe- rior to classical operators. It can identify the majority of mitochondria edges effectively.关键词
边缘检测/二值化/图像增强/线粒体Key words
edge detection/binarization/image enhancement/mitochondria分类
信息技术与安全科学引用本文复制引用
林旭云..基于二值化增强的边缘检测算法[J].重庆理工大学学报：自然科学,2012,26(5):94-100,122,8.基金项目
福建省教育厅B类科技项目 （）
福建江夏学院院级科研项目 （）
