基于核方法的单球体系穆勒矩阵建模

Polarization imaging techniques have becoming a valid method for skin, cardiovascular system and early cancer diagnosis. Understanding the propagation and interaction of polarized light in biological tissues is conductive to explaining the polarization muller images and developing new polarization imaging techniques. However, the biological tissue is so complicated that none valid analytic formulas are extracted. This paper concentrates on the correlation between muller matrices and physical parameters of scattering media, rather than the causality based on optical theory. In this paper, based on the Monte-Carlo program, kernel method has been used to analysize the single-sphere scattering system. Compare with linear principle components regression and partial least squares regression, kernel methods have better prediction performance.