As an image-segmentation method based on graph theory, GrabCut has attracted more and
more researchers to pay attention to this new method because of its advantages of simple …

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 …

Grab Cut is an image segmentation method based on graph theory, and it is an improved
algorithm of Graph Cut. Color images can be segmented by Grab cut. However, Grab Cut …

In this paper, a modified GrabCut algorithm is proposed using a clustering technique to
reduce image noise. GrabCut is an image segmentation method based on GraphCut starting …

GrabCut algorithm is one of most popular approaches of image segmentation. In practice,
the segmented image using GrabCut algorithm always keeps too much redundant …

Traditional Graph-Cut algorithm traverses all pixels at each time of computation;
consequently, it consumes a lot of time. This paper improves on Graph-Cut algorithm based …

Graph cuts based interactive segmentation has become very popular over the last decade.
In standard graph cuts, the extraction of foreground object in a complex background often …

The GrabCut, which uses the graph-cut iteratively, is popularly used as an interactive image
segmentation method since it can produce the globally optimal result. However, since the …

In this paper we implemented an improved method of the GrabCut Technique which works
on image segmentation quite interactively and user friendly and which reduces the user …

In order to solve the segmentation degradation phenomenon when the number of super
pixels is low, we propose a novel color image segmentation algorithm based on GrabCut …