Light as the natural element for our life can be characterized by its intensity, wavelength and polarization. The polarization is general characteristic of wave (light, gravitational wave, sound wave etc.) that have the information of their oscillations as well as the reflecting object. Polarization of light could not be viewed naturally by our naked human eyes due to the limitation of capabilities of capturing light on a muscle known as the ciliary muscle. Nowadays, in the computer vision, the polarization is used to determine image segmentation, object and texture recognition. Moreover, in the medical field, polarization is used to allow better the diagnose of skin texture and lesion. This project uses digital image processing technique to analyze the effect of polarization in imaging, which focuses on identifying the textures or patterns of an object. In the polarization on human skin’s imaging, this analysis technique is developed to classify and determine the texture of human skin based on the different races background with the aid of polarized light as well to distinguish between the texture of normal skin and skin lesion
