Multi-sensor image registration based on visual attention

Feihong Wu; BingJian Wang; Xiang Yi; Min Li; Jingya Hao; Huixin Zhou

doi:10.1117/12.2072050

24 November 2014 Multi-sensor image registration based on visual attention

Feihong Wu, BingJian Wang, Xiang Yi, Min Li, Jingya Hao, Huixin Zhou

Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93011G (2014) https://doi.org/10.1117/12.2072050
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

Inspired by the process of manual registration, a method based on visual attention is proposed in this paper for multi-sensor image registration. In the first stage, the corner points are selected from both of the multi-sensor images using multi-scale Harris detector and then the outlines are extracted by Gabor filter. In the second stage, the selected points are described based on the contour images to find the matching pairs. Finally, the parameters of the affine transformation model between the images are obtained according to the matching pairs. Pairs of visible and infrared images are used to evaluate the performance of the proposed algorithm and SIFT algorithm. Experimental results show that the proposed method can achieve good performance for registering visible and infrared images.

Citation Download Citation

Feihong Wu, BingJian Wang, Xiang Yi, Min Li, Jingya Hao, and Huixin Zhou "Multi-sensor image registration based on visual attention", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93011G (24 November 2014); https://doi.org/10.1117/12.2072050

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