Paper
18 June 2013 IR and visible images registration method based on cross cumulative residual entropy
Author Affiliations +
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.
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Chao Li, Qian Chen, Guohua Gu, and 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); https://doi.org/10.1117/12.2014267
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KEYWORDS
Image registration

Infrared imaging

Visible radiation

Infrared radiation

Image filtering

Calibration

Edge detection

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