A Clustering based Hierarchical Image Feature Location Method for Complex Shaped Work-piece
This paper addresses an image feature location method for complex shaped work-piece. The “rough estimation first and then precise location hierarchical feature location method is proposed to roughly estimate the work-piece’s pose first and then precisely locate it in 2D image space. The proposed method has the following main steps: (1) simple features are detected first then more complex features are examined later, using the locations of the previously found features; (2) an improved local adaptive threshold algorithm is used to binarize the work-piece’s gray image; (3) a size adjustable binary template is designed to match hole features; (4) a work-piece is finally located in image space according to its CAD model using the nearest neighbor clustering algorithm. The method has been tested on a sort of complex shaped automobile engine cylinder head as an example and the location results are satisfactory.
hierarchical feature location adaptive threshold adjustable binary template nearest neighbor clustering
QI Yuhan JING Fengshui TAN Min DIAO Wenchao
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese State Key Laboratory of Management and Control for Complex Systems,Institute of Automation, Chinese
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
4803-4807
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）