Structure of pyrolytic carbon-based quantitative method for characterizing the polarization image

The present invention discloses a pyrocarbon structure of a quantitative method for characterizing tissue based on the polarization image, for solving the conventional pyrolytic carbon extinction angle measurement method of complex technical problem. Aspect is pyrolytic carbon and PLM image gray texture features using the C / C composite material, by means of image processing technology pyrocarbon PLM image feature information extraction, using reverse cloud generator and analyzed statistically for each image obtained attribute eigenvalue cloud model, establishing a multi-multi-condition rule cloud reasoner, pyrolytic carbon material PLM image C obtained directly extinction angle thereof pyrolytic carbon matrix by the input C /. This method uses only single PLM i.e. image can be calculated extinction angle value pyrolytic carbon, without the need for taking a series of images comprising 20-40 sheets PLM extinction cross change the whole process, the solution at this stage only a single observation image PLM the pyrolytic carbon texture their type, technical problems can not be obtained directly extinction angle.