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Proceedings Paper

An efficient template matching between rotated mono- or multi-sensor images
Author(s): Yuzhuang Yan; Xinsheng Huang; Yongbin Zheng; Wanying Xu
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Paper Abstract

This paper presents an efficient template matching which is adapted to both the rotated mono- and multi- sensor images. The proposed method uses the dominant orientation (DO) to estimate the rotation and, use the hill climbing to search the translation. First, to find the global optimum, climbers are placed all over the reference image with a constant interval, and each climber is assigned to a unique DO, by which the template rotation can be estimated at each climber. Then a class-adaptive clustering is introduced and all the climbers/DOs are clustered into several classes. In each class the template is rotated only once, so the total rotation operations can be reduced significantly. After the rotation, the hill climbing can be conducted and the global optimum can be achieved by the highest climber. Our method need not any presetting of the parameters, however, it is robust and efficient, as shown in experiments.

Paper Details

Date Published: 5 December 2011
PDF: 9 pages
Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 80050M (5 December 2011); doi: 10.1117/12.911892
Show Author Affiliations
Yuzhuang Yan, National Univ. of Defense Technology (China)
Xinsheng Huang, National Univ. of Defense Technology (China)
Yongbin Zheng, National Univ. of Defense Technology (China)
Wanying Xu, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 8005:
MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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