Hybridized Classification of Brain MRI using PSO & SVM

نویسندگان

  • Amita Kumari
  • Rajesh Mehra
چکیده

Magnetic resonance imaging (MRI) provides detailed anatomic information of any part of the body. In this method a hybrid approach for classification of brain tissue in MRI based on Particle Swarm Optimization (PSO) and Support Vector Machine (SVM) wavelet based texture feature are extracted from normal and tumor region by using HAAR wavelet. These features are given as input to the SVM classifier which classified them into normal & abnormal brain neoplasm. The algorithm incorporates steps for pre-processing, image segmentation and image classification using SVM classifier. KeywordsMRI, Classification PSO, SVM, HAAR wavelet

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تاریخ انتشار 2014