Comparison of Image Segmentation Methods in an Experimental Way

Abstract

Segmentation is an important procedure in image processing. It splits a digital image into numerous sections to examine them. It is also used to make a distinction in an image. Several image segmentation techniques are available to make a smoothen image and to examine easily. The main purpose of this work is to categorize the results and compares the threshold-based, edge-based, and watershed-based image segmentation methods. This work is executed by MatlabR2016a.