基于MCSA的感兴趣区域定位方法  

Location method of interested region based on MCSA

作　　者：许浩均 黄茜[1] 梁兆敏[1] 李学永[1] 

机构地区：[1]华南理工大学电子与信息学院,广东广州510640

出　　处：《现代电子技术》2015年第17期103-106,共4页Modern Electronics Technique

基　　金：国家自然科学基金项目(61271314);广州市科技计划对外合作项目(2013J4500001);广州科技计划珠江新星项目(2012J2200010)

摘　　要：图像边缘检测过程中产生的许多噪声边缘不仅影响后续算法的效率,还严重影响目标的准确识别。这里提出一种基于最大连续子序列算法的目标预定位方法。先利用Lo G提取图像边缘,在标定边缘坐标的基础上,计算所有边缘的最大灰度差,经阈值初步去除大部分噪声边缘后,再用最大连续子序列算法将与缺陷边缘相接的噪声边缘滤除,最后利用区域填充得出待定缺陷区域。实验结果表明,该方法能有效地去除噪声边缘并获得包含缺陷边缘的掩膜区域,从而有效提高后续缺陷识别算法的效率。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 algorithm（MCSA）is proposed. The image edge is extracted by using Lo G,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 connected with defect edges are eliminated by using MCSA. The undetermined defect regions are obtained by region filling. The experimental 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 

分 类 号：TN919.81[电子电信—通信与信息系统]