Research on segmentation of sports images based on GMMLS method

摘要

The transmission is a major economic game broadcast, not just playing games, video files, and can be tracked by image segmentation. However, from the current situation, it can see the video segmentation technology is still immature. Image segmentation is a technique that divides the original image into several different categories. Many of the possible solutions, it can be made available for image segmentation into different motion image segmentation qualities and each, some of the categories. The first step in the preprocessing is to remove the noise from the image. The second level is designed to be based on the proposed Gaussian Mixed Model Level Set (GMMLS), which uses multi-level threshold technology for image segmentation. The GMMLS is expected to realize an image processing method because it is substantially parallel to and consistent with the regional image division processing. And the third process, feature extraction, completion and final motion image classification. Experiments have demonstrated the feasibility of artificial life methods in both luminance and color images. Experimental results show that the algorithm provides fast segmentation with high perceptual segmentation quality while moving the image split view.