Classification of Brain MRI in Wavelet Domain

The automatic classification of brain MRI images of a patient is an important task in clinical diagnostic for the detection of tumor/cancer or any kind of brain related disease; subsequently it will reduce the subjectivity of physician in decision making. In order to design and implement, A MRI image classification technique of Three-Stage approach, consisting of 2 level wavelet decomposition [1] in various non-overlapping bands, and extraction of corresponding feature set vectors employing first order statistics and principal component analysis is required. By using these approaches we have to train a Support Vector Machine [8] for the Final classification of brain MRI image. The proposed approach is expected to give better performance than the previous approaches used in the brain MRI classification. The MRI image data of a normal and abnormal person are utilized here from available resources and the problem will be carried out in MATLAB 7.12 Version by using Image processing, Wavelet & bioinformatics Toolboxes. The comparison will also be carried out at with existing conventional techniques to establish its superiority