Image segmentation is the prime factor to elicit the detailed investigation of an image. The
desired information from an image can be easily obtained through the intuitive technique …

Image segmentation is known as one of the most critical task in image processing and
pattern recognition in contemporary time, for this purpose Multi Level Thresholding based …

Image segmentation is a method of segregating the image into required segments/regions.
Image thresholding being a simple and effective technique, mostly used for image …

Abstract Background/Objectives: In this paper, Firefly Algorithm (FA) based multilevel
thresholding is proposed to segment the gray scale image by maximizing the entropy value …

This paper presents a multilevel image thresholding approach which relies on Tsallis
entropy using Fuzzy partition with a novel threshold selection technique. In order to compute …

Multilevel image thresholding is an important operation in many analyses which is used in
many applications. Selecting correct thresholds is a critical issue. In this paper, Bacterial …

Determination of optimum thresholds is the prime concern of any multilevel image
thresholding technique. The traditional methods for multilevel thresholding are …

Image segmentation is an essential step involved in most computer vision systems used in
several areas such as engineering, communications, transportation, business, and social …

Multilevel thresholding is a method that is widely used in image segmentation. The
thresholding problem is treated as an optimization problem with an objective function. In this …

Thresholding is one of the highly accepted methods for image segmentation because of its
simplicity in nature. The selection of optimal threshold values in threshold-based image …