Joint contrast optimization and object segmentation in active polarimetric images

作     者：Anna, Guillaume Bertaux, Nicolas Galland, Frederic Goudail, Francois Dolfi, Daniel 

作者机构：Univ Paris 11 CNRS Inst Opt Lab Charles FabryUMR 8501 F-91127 Palaiseau France Aix Marseille Univ Inst Fresnel Ecole Cent Marseille CNRS F-13013 Marseille France Thales Res & Technol France RD128 F-91767 Palaiseau France 

出 版 物：《OPTICS LETTERS》 (光学快报)

年 卷 期：2012年第37卷第16期

页      面：3321-3323页

核心收录：

学科分类：070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学] 

基　　金：Delegation Generale pour l'Armement (DGA)  Mission pour la Recherche et l'Innovation Scientifique (MRIS) 

主　　题：Image processing Image processing algorithms Light scattering Medical imaging Mueller matrices Polarimetric imaging 

摘      要：We present a method for automatic target detection based on the iterative interplay between an active polarimetric imager with adaptive capabilities and a snake-based image segmentation algorithm. It successfully addresses the difficult situations where the target and the background differ only by their polarimetric properties. This method illustrates the benefits of integrating digital processing algorithms at the heart of the image acquisition process rather than using them only for postprocessing. (C) 2012 Optical Society of America