Image Segmentation Method Based on Snowfall Model

摘要

In order to improve accuracy of image segmentation, reduce the effect of noise on the cutting edge of image segmentation as much as possible, a new image segmentation method based on the model of the snowfall was proposed, Firstly, snowfall model and snow surface effect were analyzed in detail, the snow model was applied to image segmentation with strong adaptability, and then mixed the traditional random walk image segmentation algorithm with adaptive snow model characteristics, generated a new algorithm, finally made performance simulation using virtual and real images algorithm, the results showed the image segmentation performance is better than the common NCut and the traditional random walk algorithm for image segmentation, and it had certain research value.