Multilevel thresholding image segmentation using meta-heuristic optimization algorithms: Comparative analysis, open challenges and new trends
This paper studied the multilevel threshold image segmentation-based metaheuristics
optimization methods and their applications. Image segmentation is a common problem in …
optimization methods and their applications. Image segmentation is a common problem in …
Threshold selection using Renyi's entropy
P Sahoo, C Wilkins, J Yeager - Pattern recognition, 1997 - Elsevier
Image segmentation is an important and fundamental task in many digital image processing
systems. Image segmentation by thresholding is the simplest technique and involves the …
systems. Image segmentation by thresholding is the simplest technique and involves the …
A novel black widow optimization algorithm for multilevel thresholding image segmentation
Segmentation is a crucial step in image processing applications. This process separates
pixels of the image into multiple classes that permits the analysis of the objects contained in …
pixels of the image into multiple classes that permits the analysis of the objects contained in …
A new technique for multilevel color image thresholding based on modified fuzzy entropy and Lévy flight firefly algorithm
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 …
thresholding of color images at different segmentation levels using Lévy flight guided firefly …
[HTML][HTML] Multilevel thresholding image segmentation based on energy curve with harmony Search Algorithm
R Srikanth, K Bikshalu - Ain Shams Engineering Journal, 2021 - Elsevier
Image segmentation is a process of portion image into regions. From image segmentation
schemes available, multilevel thresholding on the histogram is a highly established method …
schemes available, multilevel thresholding on the histogram is a highly established method …
Multi-level thresholding with a decomposition-based multi-objective evolutionary algorithm for segmenting natural and medical images
The objective of multilevel thresholding is to segmenting a gray-level image into several
distinct homogeneous regions. This paper presents an alternative approach for …
distinct homogeneous regions. This paper presents an alternative approach for …
A two-dimensional multilevel thresholding method for image segmentation
AB Ishak - Applied soft computing, 2017 - Elsevier
In this work, we develop a two-dimensional multilevel thresholding technique based on
Rényi and Tsallis entropies. The formulation of the proposed method gives rise to an NP …
Rényi and Tsallis entropies. The formulation of the proposed method gives rise to an NP …
HWOA: A hybrid whale optimization algorithm with a novel local minima avoidance method for multi-level thresholding color image segmentation
M Abdel-Basset, R Mohamed, NM AbdelAziz… - Expert Systems with …, 2022 - Elsevier
Traditional methods to address color image segmentation work efficiently for bi-level
thresholding. However, for multi-level thresholding, traditional methods suffer from time …
thresholding. However, for multi-level thresholding, traditional methods suffer from time …
An opposition equilibrium optimizer for context-sensitive entropy dependency based multilevel thresholding of remote sensing images
Earlier 1D histogram-based entropic methods for multilevel image thresholding suffer from
the lack of contextual information. Subsequently, the idea was extended for 2D histogram …
the lack of contextual information. Subsequently, the idea was extended for 2D histogram …
A novel context sensitive multilevel thresholding for image segmentation
Most of the traditional histogram-based thresholding techniques are effective for bi-level
thresholding and unable to consider spatial contextual information of the image for selecting …
thresholding and unable to consider spatial contextual information of the image for selecting …