A survey of entropy based image thresholding techniques
Nikhil Kumar Rajput, Ankit Rajpal, Amit Kumar Singh, Dilip Senapati · 2014
Image thresholding is one of the most widely used segmentation techniques in image processing. The objective of image thresholding is to segment a given image so that the object is more distinguishable from its background. This has been an active area of research in image processing and several methods have been proposed. Some of them are based on entropy of the image and its histogram. In this paper we provide a brief survey of entropy based thresholding techniques which include method based on entropy of histogram, thresholding using Renyi entropy and thresholding using Tsallis entropy.