Fuzzy Clustering Algorithm Based on Improved Global Best-Guided Artificial Bee Colony with New Search Probability Model for Image Segmentation

Fuzzy Clustering Algorithm Based on Improved Global Best-Guided Artificial Bee Colony with New Search Probability Model for Image Segmentation

Clustering using fuzzy C-means (FCM) is a soft segmentation method that has been extensively investigated and successfully implemented in image segmentation. FCM is useful in various aspects, such as the segmentation of grayscale images. However, FCM has some limitations in terms of its selection of...

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Bibliographic Details
Main Authors: Waleed Alomoush, Osama A. Khashan, Ayat Alrosan, Essam H. Houssein, Hani Attar, Mohammed Alweshah, Fuad Alhosban
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
data clustering
artificial bee colony
centroids location
natural images and validity index
Online Access:https://www.mdpi.com/1424-8220/22/22/8956

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