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Proceedings Paper

IR and visible images registration method based on cross cumulative residual entropy
Author(s): Chao Li; Qian Chen; Guohua Gu; Tian Man
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Paper Abstract

This paper presents a method which combines with Bilateral Filter and cross cumulative residual entropy. It will be applied to infrared and visible registration. In this algorithm, firstly, according to infrared image and optical image characteristics, we put forward edge extraction algorithm based on the Bilateral Filter. Secondly, we use Cross Cumulative Residual Entropy (CCRE) as the similarity measure to match the reference images and transformed images effectively. Finally, we introduce the idea of calibration to reduce operation time. Bilateral filter can reduce noise and protect edge, and cross cumulative residual entropy uses cumulative distribution function instead of probability density function to overcome the noise on the local minima. The experiment proved that registration is effective.

Paper Details

Date Published: 18 June 2013
PDF: 10 pages
Proc. SPIE 8704, Infrared Technology and Applications XXXIX, 870430 (18 June 2013); doi: 10.1117/12.2014267
Show Author Affiliations
Chao Li, Nanjing Univ. of Science and Technology (China)
Qian Chen, Nanjing Univ. of Science and Technology (China)
Guohua Gu, Nanjing Univ. of Science and Technology (China)
Tian Man, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8704:
Infrared Technology and Applications XXXIX
Bjørn F. Andresen; Gabor F. Fulop; Charles M. Hanson; Paul R. Norton; Patrick Robert, Editor(s)

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