A Dual-Population GA Based Visual Identification with Model Matching

摘要：

　　Aiming at increasing speed of analysis and understanding of image and improving identification accuracy and efficiency,a novel model matching method with imaged object feature is presented,by which the grey value of image information collected from vision sensor is utilized directly and the finished image recognized result is achieved without pre-processing,so it saves the time for identification.In model matching process,a dual populations GA (DPGA) method is used for searching the best matched object,in which one is the global population served for detecting the possible area existing the optimal position,the other is the local population served for searching in the possible area for the optimal position carefully and quickly.The effectiveness of the method has been verified using real image of workpiece with rectangular feature.

关键词： dual-population GA model-based matching visual identification

作者: Yan LI Feng GAO Yumei HUANG Xingang YANG

作者单位: School of Mechanical Engineering and Precision Instrument of Xi1an University of Technology,China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 3708-3713

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）