Brain Tumor Classification using SVM and Bag of Visual Word classifier

Abstract

Analysis of MRI images and extraction of brain tumors from MRI images are challenging tasks in medical image processing. In image processing consist of four stages image Acquisition, Segmentation, Feature Extraction, Classification. Our proposed method used K-means segmentation algorithms. K-means clustering algorithms with low time and space complexity. Classification is bag of visual words with accuracy 95.0%, sensitivity 90.0%, and specificity 100%. Proposed method is compared with the existing method in the literature.