Registration of infrared and visible images based on improved SIFT

Authors:
Ting Rui;Sheng-ao Zhang;You Zhou;Xing Jianchun;Ding Jian
Affiliations:
PLA University of Science and Technology Nan Jing, China;PLA University of Science and Technology Nan Jing, China;Jiangsu Institute of Economic and Trade Technology Nan Jing, China;PLA University of Science and Technology Nan Jing, China;PLA University of Science and Technology Nan Jing, China
Venue:
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Year:
2012

Citing 2
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Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
Multiresolution registration of remote sensing imagery by optimization of mutual information using a stochastic gradient

IEEE Transactions on Image Processing

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Abstract

Referring to the less correlative of Infrared and visible image registration, which lead to low matching accuracy rate. An improved registration of infrared and visible images approach based on SIFT operator is proposed. Firstly, Difference-of-Gaussian scale-spaces were built that based on Sub-band of the wavelet decomposition. The scale-invariant feature points were detected in each scale. Then, SIFT vector values were constrained through given threshold, and angle between the key-points descriptors is treated as the similarity measure. Finally, the least squares method was employed to find optimal solutions to affine transform equations. Experimental results show that the proposed increase the anti-jamming and approach matching accuracy rate.