A study on image segmentation and segmentation methods

Abstract

The image is a composition of many pixels. These pixels include two pieces of information: Coordinate or position and intensity value. The image includes several objects; extracting the crucial objects from the image is critical. Based on the similarity of patterns, classes, groups, and segments of contained objects in the image can be created. Assigning the labels to the pixels is necessary to make the image more informative for analyzing features and decision-making. This study addresses segmentation techniques for extracting objects of interest from the image.