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Group theoretic particle swarm optimization for multi-level threshold lung cancer image segmentation
2022
Quantitative Imaging in Medicine and Surgery
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A novel image segmentation method with evolutionary learning technique named Group Theoretic Particle Swarm Optimization is proposed. ...
Group Theoretic Particle Swarm Optimization for multi-level threshold segmentation is an efficient way to split a medical image into distinct regions and extract tumor tissues regions from the background ...
Conclusions A novel multi-level threshold image segmentation method using symmetric group theory-based metaheuristic is proposed to solve the combinatorial optimization problem Figure 4 4 Figure 4 The ...
doi:10.21037/qims-22-295
pmid:36915344
pmcid:PMC10006099
fatcat:qkoty3j73bgixjvp6eueg5wnwe
Game Theory based Framework for Synthetic Aperture Radar Image De-noising and Change Detection
2015
International Journal of Signal Processing, Image Processing and Pattern Recognition
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In this paper, we propose a novel game theory based framework for synthetic aperture radar image de-noising and segmentation based change detection. We find out the balance of the two aspects. ...
Finally, some potential optimization methods are discussed for future research. ...
Balance Segmentation and De-noising using Game Theory
The Theoretical Analysis In general, game theory is a framework for optimizing the multi-objective and multidisciplinary problems. ...
doi:10.14257/ijsip.2015.8.4.17
fatcat:b6zzrb2xvrfgxnp6rqzrjdht4a
An efficient of estimation stages for segmentation skin lesions based optimization algorithm
2021
International Journal of Power Electronics and Drive Systems (IJPEDS)
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A controlled artificial bee colony (ABC) algorithm is advanced for solving factors optimization problems and, also the physical-programming-depend on ABC way is applied to proposal median filter, and the ...
stages for segmentation skin lesions. ...
In 2017, Li et al. used ABC algorithm for multi-level thresholding of images and the experimental outcomes presented that this technique can search out the ideal thresholds efficiently and speedily, and ...
doi:10.11591/ijece.v11i1.pp402-408
fatcat:ckzgsddnznbetm4rd57veukkta
S. I: hybridization of neural computing with nature-inspired algorithms
2021
Neural computing & applications (Print)
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Nature-inspired method plays a significant role across domains to solve multi-criteria decision-making problems. ...
Hybrid intelligent methods have proven their efficiency to solve NP-hard optimization problems. ...
The article title ''A novel equilibrium optimization algorithm for multi-thresholding image segmentation problems'' by Mohamed Abdel-Basset, Victor Chang and Reda Mohamed presented an equilibrium optimization ...
doi:10.1007/s00521-021-05884-0
fatcat:z4hz6jolsjcf5bhv7hfb7fpm4q
A Novel Image Change Detection Model and Optimization Algorithm based on Game Theory under the Bounded Rationality Conditions
2016
International Journal of Security and Its Applications
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In this paper, we propose novel image change detection model and optimization algorithm based on game theory under the bounded rationality conditions. ...
Later, we discuss the novel mathematical optimization approaches for the change detection based on the proposed game theory prior. ...
To deal with the challenge, we adopt multi-objective particle swarm optimization algorithm for general modification. ...
doi:10.14257/ijsia.2016.10.4.29
fatcat:nmlii2psrvhyxjfr6hidz3ivgm
An Improved Jellyfish Algorithm for Multilevel Thresholding of Magnetic Resonance Brain Image Segmentations
2021
Computers Materials & Continua
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Consequently, in this paper, we develop a new multilevel thresholding image segmentation technique based on the jellyfish search algorithm (JSA) (an optimizer). ...
Recently, several image segmentation techniques based on multilevel thresholding have been proposed for medical image segmentation; however, the algorithms become trapped in local minima and have low convergence ...
Section 2 presents the multi-threshold image segmentation problem using the Otsu method. Section 3 describes the JSA. Section 4 explains the proposed algorithm. ...
doi:10.32604/cmc.2021.016956
fatcat:mzh6v2ywevhobkqr62aecautcy
A Novel Non-Entropic Objective Function for Multilevel Optimal Threshold Selection Using Adaptive Equilibrium Optimizer
2022
Iranian Journal of Electrical and Electronic Engineering
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To solve this problem, a novel non-entropic method for multilevel optimal threshold selection is proposed. ...
A novel non-entropic objective function is proposed. It is used for multilevel threshold selection by maximizing the partition score using the adaptive equilibrium method. ...
There is a strong need to compute optimal threshold values for accurate segmentation of the image under consideration I. ...
doaj:3ba39ef8ac3440abbf227fd829288ded
fatcat:5tnhpirr3vdpnjv3jzaxcutqq4
A hybrid COVID-19 detection model using an improved marine predators algorithm and a ranking-based diversity reduction strategy
2020
IEEE Access
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The performance of IMPA has been validated on nine chest X-Ray images with threshold levels between 10 and 100 and compared with five state-of-art algorithms: equilibrium optimizer (EO), whale optimization ...
This paper therefore proposes a hybrid COVID-19 detection model based on an improved marine predators algorithm (IMPA) for X-Ray image segmentation. ...
First, we propose a hybrid model for COVID-19 detection using an improved marine predators algorithm (IMPA) for overcoming the multi-threshold image segmentation problems of chest X-Ray images. ...
doi:10.1109/access.2020.2990893
fatcat:auie3ffjsfcnjcvh4qg4oyl3qa
A robust multi-agent Negotiation for advanced Image Segmentation: Design and Implementation
2019
Inteligencia Artificial
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This paper presents a method for segmenting 2D/3D images by merging regions and solving problems encountered during the process using a multi-agent system (MAS). ...
It is generally accepted that segmentation is a critical problem that influences subsequent tasks during image processing. ...
The objective of this paper is to implement a cooperative image segmentation algorithm, based on the concept of region merging, where similar neighboring regions are merged according to a novel process ...
doi:10.4114/intartif.vol22iss64pp102-122
fatcat:hqvme2pgsbezhpwufemwygpawu
HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images
2020
Applied Soft Computing
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This paper proposes a new hybrid approach based on the thresholding technique to overcome ISP for COVID-19 chest X-ray images by integrating a novel meta-heuristic algorithm known as a slime mould algorithm ...
This problem is called the image segmentation problem (ISP). Many techniques have been proposed to overcome ISP. ...
Acknowledgment This research is partly supported by VC Research, UK (VCR 0000075) for Prof Chang. ...
doi:10.1016/j.asoc.2020.106642
pmid:32843887
pmcid:PMC7439973
fatcat:nzjvxldlivertm2tzszh5xojjq
A New Framework for Interactive Images Segmentation
2017
Mehran University Research Journal of Engineering and Technology
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Image segmentation has become a widely studied research problem in image processing. ...
There exist different graph based solutions for interactive image segmentation but the domain of image segmentation still needs persistent improvements. ...
Graphcut algorithm certainly optimizes the total energy cost for binary cut (segmentation with two labels) but it often loses the guaranteed optimality for multi-way cut (segmentation with multi-labels ...
doi:10.22581/muet1982.1703.01
fatcat:a3zbnqo2kjbgnlfahrtxh7nyki
A Review of Medical Image Segmentation Algorithms
2021
EAI Endorsed Transactions on Pervasive Health and Technology
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and novel LB method to advance interest for future investigation and exploration in medical image segmentation. ...
METHODS: This paper in attendance a short review of medical image segmentation techniques based on Thresholding, Region-based, Clustering, Edge detection, Model-based and the novel method Lattice Boltzmann ...
The authors also wish to acknowledge the Department of Science and Technology (DST), Govt. of India, for the DST-FIST Level-1 (SR/FST/PS-1/2018/35) scheme of Physics, KLEF. ...
doi:10.4108/eai.12-4-2021.169184
fatcat:wblcd7ixznerdmdoss25b43tbu
Framework for progressive segmentation of chest radiograph for efficient diagnosis of inert regions
2019
International Journal of Electrical and Computer Engineering (IJECE)
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Given an input of chest x-ray, the system offers progressive search for similar image on the basis of similarity score with queried image. ...
The proposed system contributes to introduce a framework that can offer a good balance between computational performance and segmentation performance. ...
[40] where the segmentation performance has been optimized using swarm intelligence. Benefits of multi-thresholding schemes for segmenting brain images was discussed by Liu et al. [41] . ...
doi:10.11591/ijece.v9i2.pp982-991
fatcat:ca74jnftwnfzfpgngngvgkp5be
Advances in Slime Mould Algorithm: A Comprehensive Survey
2024
Biomimetics
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Finally, we also discuss the main applications domains of the SMA, such as engineering optimization, energy optimization, machine learning, network, scheduling optimization, and image segmentation. ...
This review presents some research suggestions for researchers interested in this algorithm, such as conducting additional research on multi-objective and discrete SMAs and extending this to neural networks ...
Acknowledgments: The authors would like to thank the editor and the three anonymous referees for their positive comments and useful suggestions. ...
doi:10.3390/biomimetics9010031
pmid:38248605
pmcid:PMC10813181
fatcat:2vaz4ifvm5c5plecfphzfck4bi
Human Treelike Tubular Structure Segmentation: A Comprehensive Review and Future Perspectives
[article]
2022
arXiv
pre-print
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In this survey, we aim to provide a comprehensive review of currently publicly available datasets, segmentation algorithms, and evaluation metrics. ...
As a result, automated or semi-automated computational models have become a popular research field of medical imaging in the past two decades, and many have been developed to date. ...
MCET-HHO: In [54] , a novel unsupervised vessel segmentation approach is proposed based on optimized multi-level thresholding. ...
arXiv:2207.11203v2
fatcat:mejey7nywvh63nacf5mbuwokea
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