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Advancing image segmentation with DBO-Otsu: Addressing rubber tree diseases through enhanced threshold techniques
2024
PLoS ONE
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its potential for TPD image segmentation and recognition tasks. ...
The findings reveal that DBO-Otsu substantially surpasses its counterparts in image segmentation quality and processing speed. ...
Algorithms such as genetic algorithms, Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), and Harris Hawks Optimization (HHO) have each contributed uniquely to threshold selection, ...
doi:10.1371/journal.pone.0297284
pmid:38512907
pmcid:PMC10956860
fatcat:tkf4k2k55jdwndt7eqti7nc5dq
Bat Algorithm (BA)
[chapter]
2018
Swarm Intelligence
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A system for multi-level image thresholding was proposed in [37] based on the bat algorithm. ...
Bat hybrid with particle swarm optimization A hybrid particle swarm optimization with bat algorithm (hybrid PSO-BA) is designed based on original PSO and bat algorithm in [15] . ...
algorithm (GA), ant colony optimization, and particle swarm optimization (PSO). ...
doi:10.1201/9781315222455-6
fatcat:724x2apwyrc2ngjsx7satgyrbm
Survey on Recent Research and Implementation of Ant Colony Optimization in Various Engineering Applications
2011
International Journal of Computational Intelligence Systems
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Finally it presents the experimental result of ACO which is applied for routing problem and compared with existing algorithms. ...
This ACO exploits a similar mechanism for solving optimization problems for the various engineering field of study. Many successful implementations using ACO are now available in many applications. ...
The authors uses a new evolutionary algorithm based on Fuzzy Adaptive Particle Swarm Optimization (FAPSO) to solve the optimal operation problem and compared this method with Genetic Algorithm (GA), Particle ...
doi:10.1080/18756891.2011.9727813
fatcat:agxxkaaxqnhi7mrvegpalzo6ye
Survey on Recent Research and Implementation of Ant Colony Optimization in Various Engineering Applications
2011
International Journal of Computational Intelligence Systems
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Finally it presents the experimental result of ACO which is applied for routing problem and compared with existing algorithms. ...
This ACO exploits a similar mechanism for solving optimization problems for the various engineering field of study. Many successful implementations using ACO are now available in many applications. ...
The authors uses a new evolutionary algorithm based on Fuzzy Adaptive Particle Swarm Optimization (FAPSO) to solve the optimal operation problem and compared this method with Genetic Algorithm (GA), Particle ...
doi:10.2991/ijcis.2011.4.4.14
fatcat:2jss2lqp7vf53iexigpa67hopa
UAV Formation Trajectory Planning Algorithms: A Review
2023
Drones
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It provides reference information for researchers and workers engaged in the formation flight of UAVs. ...
With the continuous development of UAV technology and swarm intelligence technology, the UAV formation cooperative mission has attracted wide attention because of its remarkable function and flexibility ...
His contributions in this paper are as follows: supervising the planning and implementation of research activities and revising the grammar of the article. ...
doi:10.3390/drones7010062
fatcat:654cg7xgkvb23poxmgazsvi2iu
Various Segmentation Techniques for Lung Cancer Detection using CT Images: A Review
2021
Turkish Journal of Computer and Mathematics Education
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In image processing, techniques like image pre-processing, segmentation and feature extraction have been thrashed out in detail. ...
This paper suggestions investigation of literature on computer examination of the lungs in CT scans and statements the Preprocessing ideas, segmentation of a choice of pulmonary arrangements, and Feature ...
In the narrow strip of a 2D histogram, the quantum-based particle swarm optimizer (QPSO) is used for rapid calculation as the predetermined particles build up in a 2D narrow strip field. ...
doi:10.17762/turcomat.v12i2.1102
fatcat:goh7jfw5ojbbvj2z5cwtap6jvu
Extending Capture Range for Piston Error in Segmented Primary Mirror Telescopes Based on Wavelet Support Vector Machine with Improved Particle Swarm Optimization
2020
IEEE Access
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We propose a wavelet support vector machine optimized via particle swarm optimization (PSO-WSVM) method to deal with this problem, and to improve the application scope of curvature sensing. ...
Although the phase diversity (PD) algorithm can detect the piston error of each segment, it fails to reconstruct the wavefront quickly, and its dynamic range is small. ...
PARTICLE SWARM OPTIMIZATION ALGORITHM FOR WSVM Inspired by the social flocking behavior of birds, the PSO algorithm is a global optimization algorithm first proposed by Kenney and Eberhart in 1995. ...
doi:10.1109/access.2020.3002901
fatcat:vmnzptncuncuhobqevmejqqajy
Survey on wireless sensor networks: energy efficient optimization routing algorithms
2020
Indonesian Journal of Electrical Engineering and Computer Science
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Depiction of optimizing strategies like particle swarm optimization set of rules as well as ant swarm optimization Formula is already possible for lowering the electricity loss and complements the life ...
Various boundaries in preceding optimization Algorithms and suggesting a great deal better treatment through applying Data extracting Strategies for Wireless Sensing unit Networks is carried out. ...
Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752
Particle swarm optimization (PSO) algorithm It is inspired by flocking behavior of birds to solve continuous problem. ...
doi:10.11591/ijeecs.v19.i2.pp756-765
fatcat:pimrtd5y7fglfk56sba677g3au
Scanning the Issue
2020
IEEE transactions on intelligent transportation systems (Print)
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The problem is solved first by an improved particle swarm optimization method and then by an adaptive conjugate gradient method. ...
Based on the patched conic theory, candidate solutions can be analytically derived, constraints are removed from the optimization model, and the original problem is converted to a parameter optimization ...
The problem is solved first by an improved particle swarm optimization method and then by an adaptive conjugate gradient method. ...
doi:10.1109/tits.2020.2980087
fatcat:zncxp7cluzgybbw3zjx4nxefti
Fast intelligent watermarking of heterogeneous image streams through mixture modeling of PSO populations
2013
Applied Soft Computing
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In this paper, we propose a dynamic particle swarm optimization (DPSO) technique which relies on a memory of Gaussian mixture models (GMMs) of solutions in the optimization space. ...
This technique is employed in the optimization of embedding parameters of a multi-level (robust/fragile) bi-tonal watermarking system in high data rate applications. ...
Related work
Dynamic particle swarm optimization (DPSO) of recurrent problems Particle swarm optimization (PSO) [5] relies on heuristics found on bird flocks and fish schooling in order to tackle the ...
doi:10.1016/j.asoc.2012.08.040
fatcat:22ozrxp74vd6dpuvpyu33bszam
Research on Black Smoke Detection and Class Evaluation Method for Ships Based on YOLOv5s-CMBI Multi-Feature Fusion
2023
Journal of Marine Science and Engineering
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The methodology presented in this study holds significant implications for the establishment and application of future ship exhaust plume monitoring mechanisms. ...
Experimental results reveal that the proposed algorithm achieves improvements of approximately 3.8% in detection accuracy, 5.7% in recall rate, and 4.6% in mean average precision (mAP0.5) compared to the ...
Particle swarm optimization was applied to combine multi-dimensional dynamic texture analysis with temporal-spatial modeling for smoke recognition. Sun et al. ...
doi:10.3390/jmse11101945
fatcat:zbnow4pv2bfw5pa2w77qwiyfya
A Review of Adversarial Attacks in Computer Vision
[article]
2023
arXiv
pre-print
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In terms of the attacker's purpose, it can be divided into targeted attacks and non-targeted attacks, which means that the attacker wants the model to misclassify the original sample into the specified ...
The black box setting is a scenario we will encounter in practice. ...
[42] proposed a particle swarm optimization target detection black box attack EA which uses a natural optimization algorithm to guide disturbance generation in place, but this approach is time-consuming ...
arXiv:2308.07673v1
fatcat:zwkcdvyheffe5igmh54qfqylme
Conference Guide [Front matter]
2020
2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)
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In this paper, we design particle swarm optimization (PSO) and gradient descent algorithm (GDA) to learn FCM respectively. ...
out by MATLAB/Simulink, and the simulation results of PI control,MPC based on Particle Swarm Optimization(PSO-MPC) and SMO-MPC was compared. ...
, and modifies the values in the communication links to interfere in the consensus process. ...
doi:10.1109/icarcv50220.2020.9305477
fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi
An Improved Whale Optimization Algorithm Based on Different Searching Paths and Perceptual Disturbance
2018
Symmetry
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Whale optimization algorithm (WOA) is a swarm intelligence optimization algorithm inspired by humpback whale hunting behavior. ...
Then, based on the PDWOA, the effect of the search path on the performance of the algorithm has been verified. The simulation results show that the equal pitch of the Archimedean spiral curve is best. ...
The literature [27] propose a MRI image liver segmentation method based on the whale optimization algorithm (WOA). ...
doi:10.3390/sym10060210
fatcat:yyr3mtgvh5fv7f5mlfbno77fje
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches
[article]
2021
arXiv
pre-print
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Then, the related articles are summarized based on image segmentation methods. Each part of the article is reviewed by methodologies. ...
In order to improve this situation, image analysis is applied for microorganism counting since the 1980s, which consists of digital image processing, image segmentation, image classification and suchlike ...
We thank Miss Zixian Li and Mr. Guoxian Li for their important discussion. ...
arXiv:2103.13625v4
fatcat:fdzk5q4iqfeexlk7ek4crbxuve
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