Abstract:

This paper focuses on detecting brain tumor in human beings. A brain imaging technique called Magnetic
Resonance Imaging (MRI) is used to collect the images of the brain. MRI scan can provide information about the blood circulation throughout the body and blood vessels and also enabling the detection of problems related to the blood circulation in the brain. In this work, first the image is segmented using K-means clustering algorithm. Next performed a feature extraction on the segmented image using Discrete Wavelet Transform (DWT). Finally, the extracted features are classified using Support Vector Machine (SVM). In SVM I first create a classification model and then classify the new data based on the trained dataset. The classifier created by the proposed research work produced an accuracy of 90% and is efficient.

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