A New Multistage Medical Segmentation Method Based on Superpixel and Fuzzy Clustering
Joint Authors
Yin, Yilong
Yang, Gongping
Ji, Shiyong
Wei, Benzheng
Yu, Zhen
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-09
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The medical image segmentation is the key approach of image processing for brain MRI images.
However, due to the visual complex appearance of image structures and the imaging characteristic, it is still challenging to automatically segment brain MRI image.
A new multi-stage segmentation method based on superpixel and fuzzy clustering (MSFCM) is proposed to achieve the good brain MRI segmentation results.
The MSFCM utilizes the superpixels as the clustering objects instead of pixels, and it can increase the clustering granularity and overcome the influence of noise and bias effectively.
In the first stage, the MRI image is parsed into several atomic areas, namely, superpixels, and a further parsing step is adopted for the areas with bigger gray variance over setting threshold.
Subsequently, designed fuzzy clustering is carried out to the fuzzy membership of each superpixel, and an iterative broadcast method based on the Butterworth function is used to redefine their classifications.
Finally, the segmented image is achieved by merging the superpixels which have the same classification label.
The simulated brain database from BrainWeb site is used in the experiments, and the experimental results demonstrate that MSFCM method outperforms the traditional FCM algorithm in terms of segmentation accuracy and stability for MRI image.
American Psychological Association (APA)
Ji, Shiyong& Wei, Benzheng& Yu, Zhen& Yang, Gongping& Yin, Yilong. 2014. A New Multistage Medical Segmentation Method Based on Superpixel and Fuzzy Clustering. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-495503
Modern Language Association (MLA)
Ji, Shiyong…[et al.]. A New Multistage Medical Segmentation Method Based on Superpixel and Fuzzy Clustering. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-495503
American Medical Association (AMA)
Ji, Shiyong& Wei, Benzheng& Yu, Zhen& Yang, Gongping& Yin, Yilong. A New Multistage Medical Segmentation Method Based on Superpixel and Fuzzy Clustering. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-495503
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495503