DocumentCode :
606129
Title :
Modified FCM approach for MR brain image segmentation
Author :
Badmera, M.S. ; Nilawar, A.P. ; Karwankar, A.R.
Author_Institution :
Deogiri Inst. of Eng. & Manage. Studies, Aurangabad, India
fYear :
2013
fDate :
20-21 March 2013
Firstpage :
891
Lastpage :
896
Abstract :
Image segmentation is defined as action of splitting an image into band of pixels. Aim of this process is to group pixels into regions. This is used in locating objects in satellite images, face recognition, iris recognition, agricultural imaging, medical imaging. Clustering is process that make group of similar objects and is widely used technique for brain tumour detection. Fuzzy C means clustering is testified to be good as compared to other technique. Drawback of this method is time required is large for convergence. So this time can be minimized by improving cluster center and membership value updating criteria. Magnetic Resonance brain images various types like Craniopharyngioma, Ependymoma, CNS-lymphoma, Pineal tumour, germinoma, Glioblastoma can be used.
Keywords :
biomedical MRI; brain; face recognition; fuzzy set theory; image segmentation; iris recognition; medical disorders; medical image processing; neurophysiology; tumours; CNS-Iymphoma; MR brain image segmentation; agricultural imaging; brain tumour detection; craniopharyngioma; ependymoma; face recognition; fuzzy C means clustering process; germinoma; glioblastoma; group pixels; iris recognition; magnetic resonance brain images; modified FCM approach; pineal tumour; pixel band; satellite images; FCM; GCE; RI; image segmentation; modified FCM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on
Conference_Location :
Nagercoil
Print_ISBN :
978-1-4673-4921-5
Type :
conf
DOI :
10.1109/ICCPCT.2013.6528885
Filename :
6528885
Link To Document :
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