Infrared polarization image texture extraction via variational decomposition algorithm

Weiguo Zhang; Jingjing Zhang; Lina Xun; Feng Wang; Hongwu Yuan; Qing Yan; Kaili Shi

doi:10.1117/12.2208242

5 November 2015 Infrared polarization image texture extraction via variational decomposition algorithm

Weiguo Zhang, Jingjing Zhang, Lina Xun, Feng Wang, Hongwu Yuan, Qing Yan, Kaili Shi

Proceedings Volume 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015; 979509 (2015) https://doi.org/10.1117/12.2208242
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held June-July 2015, 2015, Hefei, Suzhou, and Harbin, China

Abstract

As to extract better texture from an infrared polarization image, variational decomposition has a good effect which extracts texture in the premise of energy index. First this paper introduces description of infrared polarization image in Stokes vector and hierarchical variational decomposition (BV, G_p, L²) model. And we use this model method for multiscale texture extraction of the infrared polarization image. A given infrared polarization image is decomposed into the characteristics of the three different components of u, v, r through the minimization of the energy functional. In this decomposition, v represents the fixed scale texture of f , which is measured by the parameter λ. To achieve a multiscale representation, we proceed to capture essential textures of f which have been absorbed by the residuals. Then we make energy as an index of the texture evaluation. The experiments show that the algorithm is effective to extract better texture from an infrared polarization image.

Citation Download Citation

Weiguo Zhang, Jingjing Zhang, Lina Xun, Feng Wang, Hongwu Yuan, Qing Yan, and Kaili Shi "Infrared polarization image texture extraction via variational decomposition algorithm", Proc. SPIE 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015, 979509 (5 November 2015); https://doi.org/10.1117/12.2208242

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KEYWORDS

Polarization

Infrared imaging

Infrared radiation

Feature extraction

Thermal modeling

Visualization

Analytical research

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