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Brain tumour detection is a challenging task and it’s very important to analyse the structure of the tumour correctly so, an automatic method is used now a day for the detection of the tumour. This method saves time as well as it reduces the error which occurs in the method of manual detection. K-mean clustering is used for segmenting the affected area and to show relative affected area. SVMs are used for detecting and classifying tumour affected tissues with not affected tissues. In this project We Perform wavelet transform on the converted gray scale image and extracted 12 features like contrast, correlation, energy, homogeneity etc. DB4 wavelet transform is used for feature extraction.

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