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2012 (Vol. 4, Issue: 24)
Article Information:

Evaluation of Level Set Segmentation for Medical Images with Intensity Inhomogeinity

M. Renugadevi, V. Vaithiyanathan, K.R. Sekar and N. Raju
Corresponding Author:  M. Renugadevi 

Key words:  Biomedical imaging, Intensity Inhomogeneity (IIH) , level set method, segmentation, , ,
Vol. 4 , (24): 5416-5422
Submitted Accepted Published
March 18, 2012 April 13, 2012 December 15, 2012
Abstract:

Image segmentation is an important area in the medical image guide surgery. Major advances in the field of medical imaging provide richer information in clinical applications and support the advancement in the biomedical knowledge. With the growing research on image segmentation, it has become crucial challenge for the images with inhomogeneity in intensity. Level set is the most powerful and broadly used segmentation technique in the medical image processing. This study aims at making a review on the current level set methods such as Region Scalable Fitting (RSF), Statistical and Variational Multiphase Level Set (SVMLS) and Local Clustering based Variational Level Set (LCVLS) developed for intensity inhomogeneous medical image segmentation. Experiments that apply these algorithms to segment the medical images are presented to highlight the distinct characteristics of each method. Results prove that the LCVLS method is most suitable and accurate for intensity inhomogeneous medical image segmentation.
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  Cite this Reference:
M. Renugadevi, V. Vaithiyanathan, K.R. Sekar and N. Raju, 2012. Evaluation of Level Set Segmentation for Medical Images with Intensity Inhomogeinity.  Research Journal of Applied Sciences, Engineering and Technology, 4(24): 5416-5422.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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