关键词: 泊松算法, 前景提取, 全局算法

Abstract: The image foreground extraction is using image processing algorithms to quickly and accurately extract the target image that people are interested in. The precision of image foreground extraction directly affects the subsequent processing of target image. In order to improve the accuracy of image foreground extraction, this paper proposes a new Poisson matting algorithm using global method. In order to improve the speed, this paper uses a diffusion-search method, and analyzes the effectiveness and accuracy of the algorithm. Diffusion method is to find the least cost sampling points by calculating the cost of each sampling point in a small neighborhood, it can obtain the optimal solution adjacent areas; Search method is to find the optimal sampling point by certain rules, it can accelerate the speed to find the optimal sampling point. Finally, the experiment proves that Poisson extraction algorithm based on global foreground will get more accurate results for foreground extraction.

Key words: Poisson algorithm, foreground extraction, global algorithm