Abstract

Author(s): VAISHALI SHARMA, BRAHMDUTT BOHRA, SAYAR SINGH SHEKHAWAT

Digital image processing is compatible with a solid research program in areas of image enhancement and image-based pattern recognition. Among the various image processing techniques, image segmentation plays a vital role in the step to analyze the given image. The segmentation of images is the fundamental step to analyze images and extract data from them. This paper deals with the basic principles about the methods used to segment an image. Segmentation has become a prominent objective in the analysis of images and computer vision. To segment the images, based on the segmentation techniques, the detection of borders, thresholds, the growth of the region and the grouping are taken for this study. Segmentation algorithms are based on two properties of similarity and discontinuity. This document focuses on the various methods that are widely used to segment the image.