A Novel Approach for Content based Mri Brain Image Retrieval
Amit Kumar Rohit1, N. G. Chitaliya2
1Amitkumar Rohit, M.E. Student, Electronics and Communication, Sardar Vallabhbhai Patel Institute of Technology, Vasad, Aanand, India.
2Dr. N. G. Chitaliya, Associate Professor, Electronics and Communication, Sardar Vallabhbhai Patel Institute of Technology, Vasad, Aanand, India.
Manuscript received on June 25, 2014. | Revised Manuscript received on July 03, 2014. | Manuscript published on July 05, 2014. | PP: 21-27 | Volume-4, Issue-3, July 2014. | Retrieval Number: C2273074314 /2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With increasing amount in neuro patients which increases workload on small group of radiologists, a new system is needed that help radiologists for getting essential information like types of image, extraction of tumor and retrieve the similar images for references to take treatment planning for neuro patient. In this paper, a new content based MRI brain image retrieving method is to be designed using Discrete Wavelet Transform based feature extraction, Support Vector Machine based classifier and Euclidean Distance based matching method. New tumor detection method is to be designed using Incremental Supervised Neural Network and Invariant moments.
Keywords: Content Based Image Retrieval (CBIR); Discrete Wavelet Transform (DWT); Euclidean Distance; Incremental Supervised Neural Network (ISNN); Invariant Moment; Support Vector Machine (SVM).