Image Segmentation method based on Fuzzy Clustering: Application to MR Brain Tissue Extraction

Image Segmentation method based on Fuzzy Clustering: Application to MR Brain Tissue Extraction

In this work, a fast and robust method for MR brain segmentation is proposed. This method is based on a fast and robust fuzzy clustering algorithm that is initialized close to the searched solution in order to speed up the segmentation process.  To validate the proposed method, we test it on some gr...

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Bibliographic Details
Main Authors: Hanane BARRAH, Abdeljabbar Cherkaoui
Format: Article
Language:English
Published: innove 2019-06-01
Series:International Journal of Information Science and Technology
Online Access:https://www.innove.org/ijist/index.php/ijist/article/view/73
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spelling doaj-ec2c46fbf8fa482aa51edee8f50e00c82021-09-24T10:20:59ZenginnoveInternational Journal of Information Science and Technology2550-51142019-06-013431337Image Segmentation method based on Fuzzy Clustering: Application to MR Brain Tissue ExtractionHanane BARRAH0Abdeljabbar CherkaouiAbdelmalek Essaâdi UniversityIn this work, a fast and robust method for MR brain segmentation is proposed. This method is based on a fast and robust fuzzy clustering algorithm that is initialized close to the searched solution in order to speed up the segmentation process.  To validate the proposed method, we test it on some grayscale images and on a normal brain; brought from the BrainWeb Simulated Brain Database. The experimental results are important in both robustness to noise and running times standpoints.https://www.innove.org/ijist/index.php/ijist/article/view/73
collection DOAJ
language English
format Article
sources DOAJ
author Hanane BARRAH
Abdeljabbar Cherkaoui
spellingShingle Hanane BARRAH
Abdeljabbar Cherkaoui
Image Segmentation method based on Fuzzy Clustering: Application to MR Brain Tissue Extraction
International Journal of Information Science and Technology
author_facet Hanane BARRAH
Abdeljabbar Cherkaoui
author_sort Hanane BARRAH
title Image Segmentation method based on Fuzzy Clustering: Application to MR Brain Tissue Extraction
title_short Image Segmentation method based on Fuzzy Clustering: Application to MR Brain Tissue Extraction
title_full Image Segmentation method based on Fuzzy Clustering: Application to MR Brain Tissue Extraction
title_fullStr Image Segmentation method based on Fuzzy Clustering: Application to MR Brain Tissue Extraction
title_full_unstemmed Image Segmentation method based on Fuzzy Clustering: Application to MR Brain Tissue Extraction
title_sort image segmentation method based on fuzzy clustering: application to mr brain tissue extraction
publisher innove
series International Journal of Information Science and Technology
issn 2550-5114
publishDate 2019-06-01
description In this work, a fast and robust method for MR brain segmentation is proposed. This method is based on a fast and robust fuzzy clustering algorithm that is initialized close to the searched solution in order to speed up the segmentation process.  To validate the proposed method, we test it on some grayscale images and on a normal brain; brought from the BrainWeb Simulated Brain Database. The experimental results are important in both robustness to noise and running times standpoints.
url https://www.innove.org/ijist/index.php/ijist/article/view/73
work_keys_str_mv AT hananebarrah imagesegmentationmethodbasedonfuzzyclusteringapplicationtomrbraintissueextraction
AT abdeljabbarcherkaoui imagesegmentationmethodbasedonfuzzyclusteringapplicationtomrbraintissueextraction
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