Improved chamfer matching method for surface mount component positioning. Issue 12 (10th October 2017)

• Record Type: Journal Article
• Authors: Bai, Lifei; Yang, Xianqiang; Gao, Huijun
• Is Part Of: IET image processing. Volume 11:Issue 12(2017)
• Page Start: 1265
• Page End: 1272
• Publication Date: 2017-10-10
• Subjects: image matching -- surface mount technology -- gradient methods -- search problems -- image capture -- production engineering computing; improved chamfer matching method -- surface mount component positioning -- iterative position -- rotation angle estimation approach -- image matching -- angle templates -- image pixel -- gradient information -- distance transform image -- computational cost reduction -- iterative formulas -- translation angle -- rotation angle -- rigid body motion -- search region establishment -- seed point selection -- terminal conditions -- image capture; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2016.0866
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : This study is concerned with the surface mount component positioning problem and an improved chamfer matching method based on iterative position and rotation angle estimation approach is proposed. Instead of performing matching of the image with different pre‐specified angle templates pixel by pixel, as does in traditional chamfer matching methods, the gradient information of the distance transform image is incorporated into the chamfer matching method and reduced computational cost of the method is achieved. The iterative formulas to update the translation and rotation angle are derived by reference to the characteristic of rigid body motion. The criterions of search region establishment, seed point selection and terminal conditions are given. The effectiveness of the proposed method is verified by applying the method to component positioning with actual captured images.