Image segmentation is a very important and pre-processing step in image analysis. The
conventional multilevel thresholding methods are efficient for bi-level thresholding because …

Image segmentation is a very significant process in image analysis. Much effort based on
thresholding has been made on this field as it is simple and intuitive, commonly used …

This paper presents a multi-level image thresholding approach based on fuzzy partition of
the image histogram and entropy theory. Here a fuzzy entropy based approach is adopted in …

A new multilevel thresholding based image segmentation technique is developed which
utilizes Masi entropy as an objective function. Thresholding is an important image …

The digital image segmentation is an open problem that is growing day by day and is
attracting the attention of researchers from last few years. Image resolution and their speed …

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 …

The objective of image segmentation is to extract meaningful objects. A meaningful
segmentation selects the proper threshold values to optimize a criterion using entropy. The …

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 …

Multilevel thresholding is one of the principal methods of image segmentation. These
methods enjoy image histogram for segmentation. The quality of segmentation depends on …

In this paper, a modified fuzzy entropy (MFE) function is proposed to perform the multilevel
thresholding of color images at different segmentation levels using Lévy flight guided firefly …