IR and visible images registration method based on cross cumulative residual entropy

Chao Li; Qian Chen; Guohua Gu; Tian Man

doi:10.1117/12.2014267

18 June 2013 IR and visible images registration method based on cross cumulative residual entropy

Chao Li; Qian Chen; Guohua Gu; Tian Man

Author Affiliations +

Proceedings Volume 8704, Infrared Technology and Applications XXXIX; 870430 (2013) https://doi.org/10.1117/12.2014267
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

Chao Li, Chao Li, Qian Chen, Qian Chen, Guohua Gu, Guohua Gu, Tian Man, Tian Man, } "IR and visible images registration method based on cross cumulative residual entropy", Proc. SPIE 8704, Infrared Technology and Applications XXXIX, 870430 (18 June 2013); doi: 10.1117/12.2014267; https://doi.org/10.1117/12.2014267

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