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	Fast image registration algorithm based on randomized contour matching
	Li Denggao ; Qin Kaihuai
	2010-05-06 ; 2010-05-06
关键词	Practical Theoretical or Mathematical/ feature extraction image matching image registration transforms/ image registration algorithm randomized contour matching feature points voting process transform parameters/ B6135 Optical, image and video signal processing B0230 Integral transforms C5260B Computer vision and image processing techniques C1130 Integral transforms
中文摘要	An algorithm was developed for fast planar registration of partly overlapping images to overcome the tradeoff difficulty relating to traditional deterministic image registration algorithms. The algorithm uses randomized contour matching, which extracts the "critical points" of the contours as feature points and then randomly selects a subset of feature points to instantiate a candidate transform, followed by a voting process to validate and refine the transform parameters. Experimental results show that the algorithm can match two images in linear time, which is about one magnitude faster than traditional algorithms in typical applications. The algorithm is capable of matching feature points containing a significant percentage of gross errors, which guarantees the matching algorithm to be robust.
语种	中文 ; 中文
出版者	Tsinghua Univ. Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/10420]
专题	清华大学
推荐引用方式 GB/T 7714	Li Denggao,Qin Kaihuai. Fast image registration algorithm based on randomized contour matching[J],2010, 2010.
APA	Li Denggao,&Qin Kaihuai.(2010).Fast image registration algorithm based on randomized contour matching..
MLA	Li Denggao,et al."Fast image registration algorithm based on randomized contour matching".(2010).

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