现代电子技术Issue(11)：67-69,3.
基于分区梯度的医学图像边缘检测算法
Edge detection algorithm based on partition gradient for medical image
摘要
Abstract
In medical image processing,the accuracy of edge detection affects the diagnosis and treatment of the disease di⁃rectly. Since the traditional edge detection algorithm has weak of direction and coarseness of detecting edge,the edge detection algorithm based on partition gradient for medical image is proposed. The proposed algorithm divides the 5×5 detection window in⁃to eight areas(four pairs of symmetric areas)according to the central axis and the diagonal,each pair of areas is corresponding to a direction template,the direction gradients of 0°,45°,90° and 135° are obtained by convolution operation of the templates with the window image respectively,it takes the maximum of these direction gradients as the gradient value of the window center point. The gradient image is refined by the improved non⁃maximum suppression method,the image edge is extracted by threshold method. Experimental results show that the image edge of medical blood cells has good direction which tested by the proposed al⁃gorithm,the detection effects are obviously superior to the traditional Sobel algorithm.关键词
医学图像/边缘检测/分区/非极大值抑制/细化Key words
medical image/edge detection/partition/non-maximum suppression/refining分类
信息技术与安全科学引用本文复制引用
沈德海,侯建..基于分区梯度的医学图像边缘检测算法[J].现代电子技术,2015,(11):67-69,3.基金项目
国家自然科学基金项目基于博弈论的高效稳定聚类算法研究 （）
