Fuzzy Clustering with Multi-Resolution Bilateral Filtering for Medical Image Segmentation

Kai Xiao, Jianli Li, Shuangjiu Xiao, Haibing Guan, Fang Fang and Aboul Ella Hassanien
Additional contact information
Kai Xiao: School of Software, Shanghai Jiaotong University, Shanghai, China
Jianli Li: School of Software, Shanghai Jiaotong University, Shanghai, China
Shuangjiu Xiao: School of Software, Shanghai Jiaotong University, Shanghai, China
Haibing Guan: Shanghai Key Laboratory of Scalable Computing and Systems, Department of Computer Science, Shanghai Jiaotong University, Shanghai, China
Fang Fang: Shanghai First People’s Hospital, Shanghai, China
Aboul Ella Hassanien: Department of Information Technology, Cairo University, Giza, Cairo, Egypt

International Journal of Fuzzy System Applications (IJFSA), 2013, vol. 3, issue 4, 47-59

Abstract: Although fuzzy c-means (FCM) algorithm and some of its variants have been extensively widely used in unsupervised medical image segmentation applications in recent years, they more or less suffer from either noise sensitivity or loss of details, which always is a key point to medical image processing. This paper presents a novel FCM variation method that is suitable for medical image segmentation. The proposed method, typically by incorporating multi-resolution bilateral filter which is combined with wavelet thresholding, provides the following advantages: (1) it is less sensitive to both high- and low-frequency noise and removes spurious blobs and noisy spots, (2) it yields more homogeneous clustering regions, and (3) it preserves detail, thus significantly improving clustering performance. By the use of synthetic and multiple-feature magnetic resonance (MR) image data, the experimental results and quantitative analyses suggest that, compared to other fuzzy clustering algorithms, the proposed method further enhances the robustness to noisy images and capacity of detail preservation.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/ijfsa.2013100104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jfsa00:v:3:y:2013:i:4:p:47-59

Access Statistics for this article

International Journal of Fuzzy System Applications (IJFSA) is currently edited by Deng-Feng Li

More articles in International Journal of Fuzzy System Applications (IJFSA) from IGI Global
Bibliographic data for series maintained by Journal Editor ().