GrabCut
GrabCut is an interactive foreground extraction algorithm developed by Carsten Rother, Vladimir Kolmogorov, and Andrew Blake. It is widely used in computer vision and image processing for segmenting the foreground from the background in an image. The algorithm is based on the principles of graph cuts and iteratively refines the segmentation by incorporating user input.
The GrabCut algorithm works by representing the image as a graph, where each pixel is a node.
One of the key features of GrabCut is its ability to handle complex backgrounds and foregrounds. The
GrabCut has been widely adopted in various applications, including image editing, object recognition, and video processing.