Chimp optimization algorithm in multilevel image thresholding and image clustering Chimp optimization algorithm in multilevel image thresholding and image clustering

Multilevel image thresholding and image clustering, two extensively used image processing techniques, have sparked renewed interest in recent years due to their wide range of applications. The approach of yielding multiple threshold values for each color channel to generate clustered and segmented i...

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Vydáno v:	Evolving systems Ročník 14; číslo 4; s. 605 - 648
Hlavní autoři:	Eisham, Zubayer Kabir, Haque, Md. Monzurul, Rahman, Md. Samiur, Nishat, Mirza Muntasir, Faisal, Fahim, Islam, Mohammad Rakibul
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2023 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Clustering Color Complex Systems Complexity Engineering Heuristic methods Image processing Image quality Image segmentation Maximum entropy method Multilevel Optimization algorithms Original Paper Particle swarm optimization Performance evaluation Performance measurement Popularity Signal to noise ratio Similarity Wavelet transforms Optimization algorithm Metaheuristic Clustering Thresholding ChOA
ISSN:	1868-6478, 1868-6486, 1868-6486
On-line přístup:	Získat plný text
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