Human-inspired optimization algorithms: Theoretical foundations, algorithms, open-research issues and application for multi-level thresholding
Humans take immense pride in their ability to be unpredictably intelligent and despite huge
advances in science over the past century; our understanding about human brain is still far …
advances in science over the past century; our understanding about human brain is still far …
Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms
In this paper, a new technique for color image segmentation using CS algorithm supported
by Tsallis entropy for multilevel thresholding has been proposed toward the effective colored …
by Tsallis entropy for multilevel thresholding has been proposed toward the effective colored …
Multi-level thresholding image segmentation based on nature-inspired optimization algorithms: a comprehensive review
Image segmentation is an essential step involved in most computer vision systems used in
several areas such as engineering, communications, transportation, business, and social …
several areas such as engineering, communications, transportation, business, and social …
Multilevel image thresholding based on Tsallis entropy and differential evolution
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 …
pattern recognition in contemporary time, for this purpose Multi Level Thresholding based …
Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
Multilevel thresholding for image segmentation with exchange market algorithm
R Kalyani, PD Sathya, VP Sakthivel - Multimedia Tools and Applications, 2021 - Springer
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 …
desired information from an image can be easily obtained through the intuitive technique …
Multilevel image thresholding using tsallis entropy and cooperative pigeon-inspired optimization bionic algorithm
Y Wang, G Zhang, X Zhang - Journal of Bionic Engineering, 2019 - Springer
Multilevel thresholding is a simple and effective method in numerous image segmentation
applications. In this paper, we propose a new multilevel thresholding method that uses …
applications. In this paper, we propose a new multilevel thresholding method that uses …
[HTML][HTML] A differential evolutionary adaptive Harris hawks optimization for two dimensional practical Masi entropy-based multilevel image thresholding
The prey gets completely exhausted in Harris hawks optimization (HHO), when the escape
energy is zero. Its exploration ability is limited. The random operator selected in HHO is a …
energy is zero. Its exploration ability is limited. The random operator selected in HHO is a …
Multi-level thresholding based on differential evolution and Tsallis Fuzzy entropy
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 …
entropy using Fuzzy partition with a novel threshold selection technique. In order to compute …
Multi-level thresholding using quantum inspired meta-heuristics
Image thresholding is well accepted and one of the most imperative practices to accomplish
image segmentation. This has been widely studied over the past few decades. However, as …
image segmentation. This has been widely studied over the past few decades. However, as …