一种图象前背景分离的方法及实现

A Method of Segmentation foreground and background

本文提出一种有效的图像的前背景分离算法及其实现。本文的基本思想是利用Meanshift算法对图象进行预分割,然后利用图论的观点对图象进行分割,最后利用matting算法对处理结果的局部进行优化,得到最终结果。实验结果表明,这种方法在仅需要少量用户输入情况之下,能够得到较好的分割效果。

A segmentation of foreground and background has been proposed and implemented.The image was pre-segmentation in some regions using Mean Shift algorithm first, then use the graph theory to segment the image.In the end, some boundary can be processed by matting algorithm.The experimental results indicate that with only a few users ＇ inputs, a good result is obtained.