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Proceedings Paper

Region registration of large-scale IR/visual images based on improved SC algorithm
Author(s): Xiaoqian Zhang; Junshan Li; Zhongmin Zhang; Yonghong Du
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Paper Abstract

This paper proposes an automatic method for IR and visible images matching without any assumption about initial alignment. This paper details our interest region extraction method for optical images and also the efficient region matching component. An improved shape context descriptor is constituted. The algorithm introduces in uniform pattern to make the extracted component decrease to 20 with rotation invariance Experiments using several IR and visible images illustrate the effectiveness of the proposed even when facing considerably geometric distortions. Even at different time and under special weather condition, it still has a higher average correct matching ratio than SURF and better robustness and it has a high efficiency, a short running time.

Paper Details

Date Published: 18 September 2014
PDF: 6 pages
Proc. SPIE 9282, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 928225 (18 September 2014); doi: 10.1117/12.2070919
Show Author Affiliations
Xiaoqian Zhang, Xi’an Research Institute of High Technology (China)
Taiyuan Satellite Launch Ctr. (China)
Junshan Li, Xi’an Research Institute of High Technology (China)
Zhongmin Zhang, Xi'an Communication Institute (China)
Yonghong Du, Taiyuan Satellite Launch Ctr. (China)


Published in SPIE Proceedings Vol. 9282:
7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Yudong Zhang; Wei Gao, Editor(s)

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