Leaves Curl Identification Using NIR Polarimetric Signatures

We consider passive polarimetric near infra-red imaging systems that measure the three first elements of the Stokes vector and deduce from them the degree of linear polarization and the angle of polarization in near infra-red spectrum for analyzing plant leaves. By using the variance of the angel of polarization from each sample leaf, we identify the curl of the leaf surface and compare it to other sample leaves. The identification will be useful for the next research and application in leaves classification, especially in plant diseases and its level which can be detected by its leaves.