摘要
Propeller blade width measurement has been extensively studied in the past using direct and indirect methods, and it plays a great role in determining the quality of the finished products. It has surveyed that previous techniques are usually time-consuming and erroneous due to a large number of points to be processed in blade width measurement. This paper proposes a new method of measuring blade width using two images acquired from different viewpoints of the same blade. And a new feature points matching approach for propeller blade image is proposed in stereo vision measurement. Based on these, pixel coordinates of contour points of the blade in two images are extracted and converted to real world coordinates by image algorithm and binocular stereo machine vision theory. Then, from the real world coordinates, the blade width at any position can be determined by simple geometrical method.
基金
Supported by the Natural Science Foundation of China (50975133)
the Innovative Foundation for Ph.D of the Jiangsu Province, China (2010-227)
作者简介
Jiande Zhang was born in 1982. He is a Ph.D candidate at Nanjing University of Technology. He received his M.S. degree in computer application technology in 2008 from Nanjing University of Technology. His current research interests include propeller optimization design and measurement, etc.Jingui Lu was born in 1966. He is a professor at Nanjing University of Technology. He received the Ph.D degree from Huazhong University of Science and Technology, Wuhan, China in 1994. He recei＇~ed the M.S. degree in ~99~3. ~Ae ~e~ei＇~,ed the B.S. degree from China University of Mining and Technology, Xuzhou, China in 1987. He was a postdoctoral researcher at Tokyo Institute of Technology from 1998 to 1999. He was a visiting professor at Utah State University in 2007. His current research interests include mechanical optimization design, etc. Corresponding author Email： njutcad@gmail.com
