摘要
针对基于机器视觉的气门摇臂安装位置检测中的高实时性图像处理要求,提出了一种基于游程的快速Blob分析算法.通过使用游程链表和动态数组,每个游程仅需扫描一次,不必与相邻所有游程进行比较.在算法中增加追溯扫描过程,消除标记冲突引起的标记误差,简化了判断过程,提高了操作效率.实验结果表明算法具有鲁棒、高效的特性,已在气门摇臂位置检测系统得到应用.
One of the key issues for a vision system used for inspection of defects in Valve rocker arm installation is the real-time performance request for image process. A new Blob analysis algorithm based on Run-Length Encoding（RLE） for binary image was proposed. This algorithm requires only a single pass over the image by using the method of run-lists and dynamic array, without any need to be compared with all the RLEs at the upper line. Moreover, add the rescan algorithm in order to eliminate the labeling errors aroused by label conficts, which simplifys the process and improves the entire efficiency. The experiment results show that the proposed approach is a viable alternative for effectively labeling connected component. The algorithm has been successfully applied to a vision system fort the inspection of defects in valve rocker arm installation.
出处
《计算机系统应用》
2014年第2期155-159,95,共6页
Computer Systems & Applications
基金
国家自然科学基金(61273131)
江苏高校优势学科建设工程资助项目
关键词
图像处理
BLOB分析
游程
位置检测
image processing
Blob analysis
run-length encoding
position detection
