Long-wave infrared polarization feature extraction and image fusion based on the orthogonality difference method

Jing-Hua Zhang; Yan Zhang; Zhiguang Shi

doi:10.1117/1.JEI.27.2.023021

10 April 2018 Long-wave infrared polarization feature extraction and image fusion based on the orthogonality difference method

Jing-Hua Zhang, Yan Zhang, Zhiguang Shi

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 2, 023021 (April 2018). https://doi.org/10.1117/1.JEI.27.2.023021

Abstract

Infrared polarization results from infrared-emitted radiation and reflected radiation effects. Polarization generated by infrared reflection is perpendicularly polarized, whereas polarization generated by infrared emission is parallelly polarized. Using the polarization feature in different directions can enhance the detection and discrimination of the target. Based on the Stokes vector, the polarization degree and angle are obtained. Then, according to the analysis of the polarization states, an orthogonality difference method of extracting polarization features is proposed. An infrared intensity and polarization feature images are fused using an algorithm of nonsubsampled shearlets transformation. Image evaluation indices of the target contrast to background (C), average gradient (AG), and image entropy (E) are employed to evaluate the fused image and original intensity image. Results demonstrate that every index of the fused image with the polarization feature is significantly improved, thereby validating the effectiveness of the proposed target-enhancement approach using polarization features extracted by the orthogonal difference method.

Citation Download Citation

Jing-Hua Zhang, Yan Zhang, and Zhiguang Shi "Long-wave infrared polarization feature extraction and image fusion based on the orthogonality difference method," Journal of Electronic Imaging 27(2), 023021 (10 April 2018). https://doi.org/10.1117/1.JEI.27.2.023021

Received: 18 December 2017; Accepted: 19 March 2018; Published: 10 April 2018

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