The Research on Line Features Extraction from Images of Industrial Parts Based on CAD Data
For features extraction of image measurement and reconstruction from industrial parts images,this paper puts forward a mathematical model guided by CAD designed data which can detect image lines with high accuracy.Firstly,based on CAD data getting line initial values by projecting object line features through the conversion of 3D CAD coordinate and image, and then extracting a sequence of edge points by least squares template matching （LSTM ）and acquiring image line equations by the points based on principle of least squares fitting, finally precisely obtaining the contours of industrial parts by solving the intersections of image intersecting lines. By using the algorithm on real images of industrial parts we make a line feature extraction experiment that proved this algorithm was given a high automation extraction,strong stability, and can be used to the image measurement and reconstruction of industrial parts with high accuracy.
Chunsen Zhang Pingbo Hu Jinjian Fan
College of Geomatics, Xi’an University of Science and Technology, Xian, Shannxi, 710054, China
国际会议
上海
英文
453-457
2010-10-20（万方平台首次上网日期，不代表论文的发表时间）