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Proceedings Paper

An infrared and visible image SIFT registration based on MESR
Author(s): Ting Gao; Yu Xu; Tingxin Xu; Li Shuai
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Paper Abstract

SIFT registration can obtain scale invariant and rotation invariant features easily. SIFT requires images with rich details, and the amount of calculation is too large. SIFT for infrared image and visible image registration, discarded the edge features and the low contrast pixels directly. Especially when the image with low contrast in sea and sky background, SIFT registration cannot get enough feature points and desirable effects. The classic SIFT algorithm often result in feature point degradation. A novel approach has been proposed, which through the most stable extremely region flock the SIFT feature points. Analysis the worth of low contrast and edge information in sea and sky background image, use it to rough registration. Comparison of the algorithm with an algorithm of the same kind, the results show the effectiveness of the registration with low ergodic comparisons.

Paper Details

Date Published: 11 September 2013
PDF: 8 pages
Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 890728 (11 September 2013); doi: 10.1117/12.2032938
Show Author Affiliations
Ting Gao, Air Force Early Warning Academy (China)
Yu Xu, Air Force Early Warning Academy (China)
Tingxin Xu, Air Force Early Warning Academy (China)
Li Shuai, Wuhan Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8907:
International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications
Haimei Gong; Zelin Shi; Qian Chen; Jin Lu, Editor(s)

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