快速图像分割和抠图技术研究

为解决现有算法速度慢、集成度低的问题，提出了改进的算法。利用图像分割算法Grabcut对图片的前景进行分割；高效地生成三分图，并以此作为基于三分图的抠图算法SharedMatting的输入；综合处理抠图结果。针对该系统的特点，使用下采样技术对Grabcut算法进行优化，加快分割速度，并对三分图生成算法和SharedMatting抠图算法进行并行性加速。仿真实验结果表明，该系统适用性较强，可用性较好，并能在短时间内利用较少的交互量取得较理想的抠图效果。

Research on Fast Image Segmentation and Matting Technology

To solve the slowness and low integration problems of existing algorithms, based on existing technical researches, an improved algorithm is proposed. First, segment the foreground with image segmentation algorithm Grabcut. Second, generate trimap as the input of matting algorithm Shared Matting on the basis of segmentation result. Third, obtain the final matting result. For characteristics of the system, Grabcut algorithm is optimized with downsamphng technology to accelerate the segmentation speed and concurrently accelerates trimap generating algorithm and Shared Matting to further improve the processing speed. It is proved by experiment that the system has a strong applicability and can produce an ideal matting effect with less interaction in a short time.