Object matching using generalized Hough transform and chamfer matching

Authors:
Tai-Hoon Cho
Affiliations:
School of Information Technology, Korea University of Education and Technology, Choongnam, Korea
Venue:
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Year:
2006

Citing 6
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Abstract

In this paper, an edge-based matching algorithm is proposed that combines the generalized Hough transform (GHT) and the Chamfer matching to complement weakness of either method. First, the GHT is used to find approximate object positions and orientations, and then these parameters are refined using the Chamfer matching with distance interpolation. Matching accuracy is further enhanced by using a subpixel algorithm. The algorithm was successfully tested on many images containing various electronic components.