Abstract

Polarization-encoded imaging consists of the distributed measurements of polarization parameters for each pixel of an image. We address clustering of multidimensional polarization-encoded images. The spatial coherence of polarization information is considered. Two methods of analysis are proposed: polarization contrast enhancement and a more-sophisticated image-processing algorithm based on a Markovian model. The proposed algorithms are applied and validated with two different Mueller images acquired by a fully polarimetric imaging system.

© 2004 Optical Society of America

Clustering of Mueller matrix images for skeletonized structure detection

Christophe Collet, Jihad Zallat, and Yoshitate Takakura
Opt. Express 12(7) 1271-1280 (2004)

Physical interpretation of polarization-encoded images by color preview

Samia Aïnouz, Jihad Zallat, Antonello de Martino, and Christophe Collet
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A Bayesian approach for polarimetric data reduction: the Mueller imaging case

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Target detection with a liquid-crystal-based passive Stokes polarimeter

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Mueller polarimetric imaging system with liquid crystals

Blandine Laude-Boulesteix, Antonello De Martino, Bernard Drévillon, and Laurent Schwartz
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