基于纳米SiC/PTFE复合材料微观结构SEM的图像处理及分析

In order to quantitative analysis nano-polymer composites micro-structure The system was developed for the nano-SiC-PTFE composites micro-structure based on digital image processing using Visual C++ platform. The system could process and analyze SEM image of nano-SiC-PTFE composites micro-structure, including image preprocessing (image gray balance, gray tension, smoothing, and filtering) and image analysis (image segmentation, morphological image processing, image tags, and etc.) so as to obtain the parameters for the particle size and particle dispersion characteristics. The results showed that contrast of the image was enhanced for the nano- SiC-PTFE composite micro-structure after image gray balance got incredibly increased and gray-levels became wider; the nano-particles could show more clearly after image gray tension. Smooth and filter could suppress salt and pepper noise for the SEM image. Maximal variance between classes method was better than iterative method for the image segmentation. Morphological processing could improve the identification of dispersion information for nano- SiC-particles in the PTFE. Particles marking could give different gray-scale value for different sizes particles of PTFE composites (including the reunion nano- SiC-particles), and it may distinguish different sizes of particles that were reunion which are nano SiC--particles.