Transition Region-based Gradient Image Segmentation

摘要：

For the gradient image threshold segmentation, threshold selection is not fully take into account the boundary features in the edge function of MATLAB. By analyzing high gradient magnitude or local bigger change of gradient image boundary region, the transition region extraction algorithm is present The gradient and entropy is studied, and fusion algorithm of them is designed. The total transition region is composed of pixels with high gradient magnitude and the larger local entropy, then threshold selected based on transition region histogram, the boundary segmentation can be realized. Experiments show that the algorithm is effective and practical.

关键词： gradient image transition region threshold segment fusion algorithm

作者: Junchai Gao Zhiyong Lei Zemin Wang Keding Yan

作者单位: School of Electronic Information Engineering Xian Technological University Xian, Shaanxi, 710032, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 46-49

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）