Hybrid Fuzzy C-Means Using Particle Swarm Optimization (PSO) and Differential Evolution (DE) for Image Segmentation-Reference-Cited by-同舟云学术

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Hybrid Fuzzy C-Means Using Particle Swarm Optimization (PSO) and Differential Evolution (DE) for Image Segmentation

Published:2023-08-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
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Author:

Tan C. H.¹,Rajendran P.¹,Raja V.²,Natarajan E.³

Affiliation:

1. Universiti Sains Malaysia,Nibong Tebal,Pulau Pinang,Malaysia,14300

2. Kumaraguru College of Technology,Department of Aeronautical Engineering,Coimbatore,Tamil Nadu,India,641049

3. UCSI University,Faculty of Engineering, Technology and Built Environment,Cheras Kuala Lumpur,Malaysia,56000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10260321/10260291/10260372.pdf?arnumber=10260372

Reference23 articles.

1. Incorporating Adaptive Local Information Into Fuzzy Clustering for Image Segmentation

2. Cutset-type possibilistic c-means clustering algorithm

3. Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation

4. A multiobjective spatial fuzzy clustering algorithm for image segmentation

5. Conditional spatial fuzzy C-means clustering algorithm for segmentation of MRI images

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multicluster Kernel Intuitionistic Fuzzy C-Means and State Transition Algorithm : Framework for Low Light Segmentation Imaging of Tuberculosis Bacilli Base of Semisupervised Approach;2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE);2024-06-30

2. Performances of Chimpanzee Leader Election Optimization and K-Means in Multilevel Color Image Segmentation;2023 6th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI);2023-12-11

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