GrabCut Algorithm for Image Segmentation
GrabCut is an interactive image segmentation algorithm that was introduced by Carsten Rother, Vladimir Kolmogorov, and Andrew Blake in 2004. It is a graph-cut-based algorithm designed to segment an image into foreground and background regions, making it particularly useful for applications like image editing and object recognition.
The algorithm requires user interaction to initialize the segmentation process. Typically, a rectangle is drawn around the object of interest in the image. The algorithm then iteratively refines this initial segmentation based on color and texture information within and outside the rectangle.
Foreground Extract
Foreground extract is a part of image segmentation, where the goal is to precisely delineate and separate the main objects or subjects (foreground) from the rest of the image (background).
Image segmentation techniques, including semantic segmentation or instance segmentation, contribute to achieving accurate and detailed delineation of the foreground within an image.
Python | Foreground Extraction in an Image using Grabcut Algorithm
In this article weâll discuss an efficient method of foreground extraction from the background in an image. The idea here is to find the foreground, and remove the background.
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