Fuzzy c-means clustering based on Gaussian spatial information for brain MR image segmentation
2012 19th Iranian Conference of Biomedical Engineering, ICBME 2012, Tehran, İran, 20 - 21 Aralık 2012, ss.154-158, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/icbme.2012.6519676
- Basıldığı Şehir: Tehran
- Basıldığı Ülke: İran
- Sayfa Sayıları: ss.154-158
- Anahtar Kelimeler: FCM, MRI, Segmentation, spatial information
- Atatürk Üniversitesi Adresli: Hayır
Özet
Conventional fuzzy c-means (FCM) algorithm is highly vulnerable to noise due to not considering the spatial information in image segmentation. This paper aims to develop a Gaussian spatial FCM (gsFCM) for segmentation of brain magnetic resonance (MR) images. The proposed algorithm uses fuzzy spatial information to update fuzzy membership with a Gaussian function. Proposed method has less sensitivity to noise specifically in tissue boundaries, angles, and borders than spatial FCM (sFCM). Furthermore by the proposed algorithm a pixel which is a distinct tissue from anatomically point of view for example a tumor in preliminary stages of its appearance, has more chance to be a unique cluster. The quantitative assessment of presented FCM techniques is evaluated by conventional validity functions. Experimental results show the efficiency of proposed algorithm in segmentation of MR images. © 2012 IEEE.