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 …

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

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 …

Image Segmentation based on multilevel thresholding using non-extensive (non-additive)
entropy based techniques is challenging, and the optimal choice of thresholds is an effective …

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 …

This paper proposes a global multi-level thresholding method for image segmentation. As a
criterion for this, the traditional method uses the Shannon entropy, originated from …

In this paper, optimal thresholds for multi-level thresholding in an image are obtained by
maximizing the Tsallis entropy using cuckoo search algorithm. The method is considered as …

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 …

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 …