Unsupervised Segmentation Method for Brain MRI Based on Fuzzy Techniques

In the present research a novel spatially weighted Fuzzy C-Means (FCM) clustering algorithm for image thresholding is presented. The segmentation technique is for magnetic resonance (MR) images of the brain based on fuzzy algorithms for learning vector quantization (FALVQ) by creating of a combined...

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Bibliographic Details
Main Author: Nasser N. Khamiss
Format: Article
Language:English
Published: Al-Nahrain Journal for Engineering Sciences 2010-03-01
Series:مجلة النهرين للعلوم الهندسية
Subjects:
Online Access:https://nahje.com/index.php/main/article/view/584