Application of an enhanced fuzzy algorithm for MR brain tumor image segmentation

D. Jude Hemanth; C. Kezi Selva Vijila; J. Anitha

doi:10.1117/12.852315

26 February 2010 Application of an enhanced fuzzy algorithm for MR brain tumor image segmentation

D. Jude Hemanth, C. Kezi Selva Vijila, J. Anitha

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 754608 (2010) https://doi.org/10.1117/12.852315
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

Abstract

Image segmentation is one of the significant digital image processing techniques commonly used in the medical field. One of the specific applications is tumor detection in abnormal Magnetic Resonance (MR) brain images. Fuzzy approaches are widely preferred for tumor segmentation which generally yields superior results in terms of accuracy. But most of the fuzzy algorithms suffer from the drawback of slow convergence rate which makes the system practically non-feasible. In this work, the application of modified Fuzzy C-means (FCM) algorithm to tackle the convergence problem is explored in the context of brain image segmentation. This modified FCM algorithm employs the concept of quantization to improve the convergence rate besides yielding excellent segmentation efficiency. This algorithm is experimented on real time abnormal MR brain images collected from the radiologists. A comprehensive feature vector is extracted from these images and used for the segmentation technique. An extensive feature selection process is performed which reduces the convergence time period and improve the segmentation efficiency. After segmentation, the tumor portion is extracted from the segmented image. Comparative analysis in terms of segmentation efficiency and convergence rate is performed between the conventional FCM and the modified FCM. Experimental results show superior results for the modified FCM algorithm in terms of the performance measures. Thus, this work highlights the application of the modified algorithm for brain tumor detection in abnormal MR brain images.

Citation Download Citation

D. Jude Hemanth, C. Kezi Selva Vijila, and J. Anitha "Application of an enhanced fuzzy algorithm for MR brain tumor image segmentation", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754608 (26 February 2010); https://doi.org/10.1117/12.852315

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available