07-04-2017, 10:09 AM
In computer vision, image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super pixels). The goal of segmentation is to simplify and / or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is normally used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a tag to each pixel in an image so that pixels with the same tag share certain characteristics.
It can be understood in the following video: