Clustering of polarization-encoded images.
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.
Zallat
Jihad
J
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
Collet
Christophe
C
Takakura
Yoshitate
Y