计算机技术与发展2015，Vol.25Issue(12)：64-67,71,5.DOI:10.3969/j.issn.1673-629X.2015.12.015
基于阈值分割和轮廓提取的图像边缘检测算法
Medical Cell Edge Detection Algorithm Based on Threshold Segmentation and Contour Extraction
摘要
Abstract
A novel medical cell edge detection algorithm is presented in this paper based on threshold segmentation and contour extraction and tested on the platform MATLAB. Compared with the traditional classical edge detection algorithms,the result shows the novel algo-rithm has following advantages:Morphological reconstruction removes image noise shadows and reflected light. The image is segmented clearly through an iterative algorithm to calculate the optimal threshold value. The width of the cell edge is only one pixel to improve the positioning accuracy of the edge,to avoid overlapping cell edge,as well as the cell edge has good continuity.关键词
医学图像/边缘检测/数学形态学/阈值分割/轮廓提取/仿真Key words
medical image/edge detection/mathematical morphology/threshold segmentation/contour extraction/simulation分类
信息技术与安全科学引用本文复制引用
徐国雄,张骁,胡进贤,倪旭祥..基于阈值分割和轮廓提取的图像边缘检测算法[J].计算机技术与发展,2015,25(12):64-67,71,5.基金项目
安徽省自然基金重点项目(kj2009a132) （kj2009a132）
