title: Clustering of polarization-encoded images.
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.
authors.affiliation: Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection, Parc Innovation, Boulevard Sébastien Brant, B.P. 10413, Illkirch Cedex F-67412, France. jihad.zallat@ensps.u-strasbg.fr
authors.forename: Jihad
authors.initials: J
authors.lastname: Zallat
authors.forename: Christophe
authors.initials: C
authors.lastname: Collet
authors.forename: Yoshitate
authors.initials: Y
authors.lastname: Takakura