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A Hybrid Technique for Medical Image Segmentation
Joint Authors
Kwon, Yung-Keun
Kim, Jong-Myon
Nyma, Alamgir
Kim, Cheol-Hong
Kang, Myeongsu
Source
Journal of Biomedicine and Biotechnology
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-30
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Medical image segmentation is an essential and challenging aspect in computer-aided diagnosis and also in pattern recognition research.
This paper proposes a hybrid method for magnetic resonance (MR) image segmentation.
We first remove impulsive noise inherent in MR images by utilizing a vector median filter.
Subsequently, Otsu thresholding is used as an initial coarse segmentation method that finds the homogeneous regions of the input image.
Finally, an enhanced suppressed fuzzy c-means is used to partition brain MR images into multiple segments, which employs an optimal suppression factor for the perfect clustering in the given data set.
To evaluate the robustness of the proposed approach in noisy environment, we add different types of noise and different amount of noise to T1-weighted brain MR images.
Experimental results show that the proposed algorithm outperforms other FCM based algorithms in terms of segmentation accuracy for both noise-free and noise-inserted MR images.
American Psychological Association (APA)
Nyma, Alamgir& Kang, Myeongsu& Kwon, Yung-Keun& Kim, Cheol-Hong& Kim, Jong-Myon. 2012. A Hybrid Technique for Medical Image Segmentation. Journal of Biomedicine and Biotechnology،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-501537
Modern Language Association (MLA)
Nyma, Alamgir…[et al.]. A Hybrid Technique for Medical Image Segmentation. Journal of Biomedicine and Biotechnology No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-501537
American Medical Association (AMA)
Nyma, Alamgir& Kang, Myeongsu& Kwon, Yung-Keun& Kim, Cheol-Hong& Kim, Jong-Myon. A Hybrid Technique for Medical Image Segmentation. Journal of Biomedicine and Biotechnology. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-501537
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501537