Research on Recognition of Work-piece Based on Improved SIFT Algorithm

摘要：

Efficiency Image matching technology is very important to assembly product line based on machine vision.SIFT (Scale Invariant Feature Transform) descriptor is commonly used in image matching because of the good invariance of scale,rotation,illumination.But its algorithm is complicated and computation time is long. To improve sIFT algorithm real-time quality,the method of reducing similar measure matching cost is mentioned.Euclidean distance is replaced by the linear combination of cityblock distance and chessboard distance,and reduce character point in calculating with results of part feature. The Workpiece Recognition experimental results show that the algorithm can reduce the rate of time complexity and maintain robust quality at the same time,image matching efficiency is improved.

关键词： Image Matching Work-piece Recognition SIFT

作者: Xiaohua Wang Weiping Fu Daixian Zhu

作者单位: College of Electronics and Information,Xian Polytechnic University School of Mechanical and Precisi School of Mechanical and Precision Instrument Engineering,Xian university of Technology Communication and Information engineering College,Xian University of Science and Technology Xian 7

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 417-421

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）