现代电子技术2015，Vol.38Issue(17)：103-106,4.
基于MCSA的感兴趣区域定位方法
Location method of interested region based on MCSA
摘要
Abstract
Numerous noise edges produced in the process of image edge detection can affect the efficiency of the following algorithm and accurate recognition of the targets. A target pre-positioning method based on maximum continuous subsequence al-gorithm(MCSA)is proposed. The image edge is extracted by using LoG,and the maximum grayscale differences of all the edges are calculated on the basis of calibrating edge coordinates. Most noise edges are eliminated by threshold,then noise edges con-nected with defect edges are eliminated by using MCSA. The undetermined defect regions are obtained by region filling. The ex-perimental results show that this method can eliminate noise edges effectively and obtain mask regions containing defect edges, which can improve the efficiency of subsequent defect recognition algorithm greatly.关键词
预处理/最大灰度差图像/最大连续子序列算法/区域填充Key words
pretreatment/maximum grayscale difference image/MCSA/region filling分类
信息技术与安全科学引用本文复制引用
许浩均,黄茜,梁兆敏,李学永..基于MCSA的感兴趣区域定位方法[J].现代电子技术,2015,38(17):103-106,4.基金项目
国家自然科学基金项目(61271314) （61271314）
广州市科技计划对外合作项目(2013J4500001) （2013J4500001）
广州科技计划珠江新星项目(2012J2200010) （2012J2200010）
