Sign In
Register
eISSN:2278-5299

International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35,  Peer-reviewed, Open-access Journal

A News Letter Sign UP!
PERFORMANCE COMPARISON OF DIFFERENT MEDICAL IMAGE SEGMENTATION ALGORITHMS FOR NORMAL AND ABNORMAL BRAIN MRI

Research Paper Open Access

International Journal of Latest Research in Science and Technology Vol.1 Issue 4, pp 369-372,Year 2012

PERFORMANCE COMPARISON OF DIFFERENT MEDICAL IMAGE SEGMENTATION ALGORITHMS FOR NORMAL AND ABNORMAL BRAIN MRI

Manoj kumarVSumithra M G

Correspondence should be addressed to :

Received : 08 December 2012; Accepted : 11 December 2012 ; Published : 31 December 2012

Share
Download 125
View 177
Article No. 10094
Abstract

Image segmentation plays an vital role in many medical-imaging applications, for the study of anatomical structures and to identify the region of interest. In this paper explaining the three existing segmentation approaches in medical image segmentation and performance evaluated for these methods for the brain MRI on the basis of pixel value, volume of ROI (region of interest), mean and variance. Then reviewed with an emphasis on the advantages and disadvantages of these methods and showing the implemented outcomes of the thresholding, clustering, region growing segmentation algorithm for the brain MRI.

Key Words   
Image segmentation, thresholding, clustering, region growing, pixel, mean, variance, region of inter

Copyright
References
  1. Dzung L. Pham, ChenyangXu, and Jerry L. Princ,”Current Methods In Medical Image Segmentation,” Department of Electrical and Computer Engineering, The Johns Hopkins University,Annu. Rev. Biomed. Eng. 2000. 02:315–37.
  2. Shapiro, Linda G and stockman, George C. Computer Vision. prentice hall. ISBN 0-13-030796-3, 2002.
  3. TranosZuva, Oludayo O, Olugbara, Sunday O. Ojo and Seleman M Ngwira,“Image Segmentation, Available Techniques, Developments and Open Issues,”Canadian Journal on Image Processing and Computer Vision Vol. 2, No. 3, MARCH 2011.
  4. KritSomkantha, NiponTheera- Umpon,,and SansaneeAuephanwiriyakul,”Boundary Detection in Medical Images Using Edge Following Algorithm Based on Intensity Gradient and Texture Gradient Features”ieee transactions on biomedical engineering, vol. 58, no. 3, march 2011.
  5.  NahlaIbraheemJabbar, and Monica Mehrotra, “Application of Fuzzy Neural Network for Image Tumor Description”, World Academy of Science, Engineering and Technology 44 2008.
To cite this article

Manoj kumarVSumithra M G , " Performance Comparison Of Different Medical Image Segmentation Algorithms For Normal And Abnormal Brain Mri ", International Journal of Latest Research in Science and Technology . Vol. 1, Issue 4, pp 369-372 , 2012

Responsive image

MNK Publication was founded in 2012 to upholder revolutionary ideas that would advance the research and practice of business and management. Today, we comply with to advance fresh thinking in latest scientific fields where we think we can make a real difference and growth now also including medical and social care, education,management and engineering.

Responsive image

We offers several opportunities for partnership and tie-up with individual, corporate and organizational level. We are working on the open access platform. Editors, authors, readers, librarians and conference organizer can work together. We are giving open opportunities to all. Our team is always willing to work and collaborate to promote open access publication.

Responsive image

Our Journals provide one of the strongest International open access platform for research communities. Our conference proceeding services provide conference organizers a privileged platform for publishing extended conference papers as journal publications. It is deliberated to disseminate scientific research and to establish long term International collaborations and partnerships with academic communities and conference organizers.