Design of Hybrid Method PSO & SVM for Detection of Brain Neoplasm
Amita Kumari1, Rajesh Mehra2
1Amita Kumari, ECE Department, NITTTR, Chandigarh, India.
2Rajesh Mehra, ECE Department, NITTTR, Chandigarh, India.
Manuscript received on March 30, 2014. | Revised Manuscript received on April 14, 2014. | Manuscript published on April 30, 2014. | PP: 262-266 | Volume-3, Issue-4, April 2014. | Retrieval Number: D3032043414/2013©BEIESP
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© The Authors. 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: In the field of medical field ,Magnetic resonance imaging (MRI) provides detailed anatomic information of any part of the body .This methodology consist of 4 steps: image processing ,image enhancement ,feature extraction and image classification. Image preprocessing is done with the help different gradient operator. Image enhancement step uses the noise removal and histogram equalization. Wavelet based texture feature are extracted from normal and tumor regions. At last optimization is done with the help of PSO and SVM classifier.
Keywords: MRI, GA , HAAR wavelet, ANN, PSO.