基于图像区域的抓取切割图像分割

Yubing Li, Jinbo Zhang, Peng Gao, Liangcheng Jiang, Ming Chen
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引用次数: 41

摘要

Grab Cut算法是图像分割领域中最流行的方法之一。它利用图像的纹理信息和边界信息,在用户交互较少的情况下获得了良好的分割效果。但是这个算法有两个明显的缺点。首先,如果背景比较复杂或者背景和目标非常相似,分割效果就不是很好。另一方面,该算法相对较慢的速度和复杂的迭代过程极大地限制了其应用。针对这些问题,本文提出了一种改进的抓取切割算法。该算法结合了抓取切割和基于图的图像分割[1]。经过实验,将改进后的算法应用于更复杂的情况。
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Grab Cut Image Segmentation Based on Image Region
Grab Cut algorithm is one of the most popular method in the field of image segmentation. It uses texture information and boundary information of image, and achieves good segmentation results with a small number of user interaction. But there are two significant drawbacks about this algorithm. Firstly, If the background is complex or the background and the object are very similar, the segmentation will not be very good. On the other hand, the relatively slow speed and Complex iterative process of the algorithm are greatly limited its application. In this paper, to develop these aspects, we proposed an improved grab cut algorithm. This algorithm is the combination of grab cut and graph-based image segmentation [1]. After the experiment, the improved algorithm is applied to more complex situation.
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