Work place: Bhilai Institute of Technology Durg (C.G.), India
E-mail: ritube_03@yahoo.co.in
Website:
Research Interests: Image Compression, Image Manipulation, Image Processing
Biography
Ritu Agrawal received the B.E. degree in Electronics and Telecommunication Engineering from Bhilai Institute of Technology, Durg (C.G.), India in 2000 and the M. Tech degree in Electronics and Telecommunication and Engineering from Bhilai Institute her Ph.D. Programmed in CSVTU, Bhilai. She has published 4 papers in the reputed international journals, 8 of Technology, Durg (C.G.), India in 2007. She is also preparing for papers in the national conferences and 1 paper in the international conference. Her area of interest is image segmentation. She is a life time member of ISTE.
By Ritu Agrawal Manisha Sharma
DOI: https://doi.org/10.5815/ijcnis.2014.04.07, Pub. Date: 8 Mar. 2014
Medical Magnetic Resonance Images (MRI) is characterized by a composition of small differences in signal intensities between different tissues types. Thus ambiguities and uncertainties are introduced in image formation. In this paper, review of the current approaches in the tissue segmentation of MR Brain Images has been presented. The segmentation algorithms has been divided into four categories which is able to deal with different intensity non-uniformity as adaptive spatial Fuzzy C - means, Markov Random Field, Fuzzy connectedness method and atlas based re-fuzzy connectedness. The performance of these segmentation methods have been compared in terms of validation metric as dice similarity coefficient, overlap ratio and Jaccard coefficient. The comparison of all validation metric at different levels of intensity non-uniformity shows that adaptive Fuzzy C - means clustering segmentation method give better result in segmentation of brain tissue.
[...] Read more.Subscribe to receive issue release notifications and newsletters from MECS Press journals