Liquid crystal image analysis by image descriptors

Liquid crystals are substances with high impact technological, new substances have been discovered and the properties of these materials need to be examined. When viewed under a microscope using a polarized light source, different liquid crystal phases will appear to have distinct textures and colors. The use of digital image processing and computer vision is being initialized in the analysis of these materials. The goal of this work is to propose methods, based on visual descriptors, which are able to identify phase transitions and classify phases in liquid crystals from a sequence of images.