Brain tumor detection and classification by image processing techniques

Brain tumor is characterized by the abnormal growth of cells in the human brain. Tumor detection and segmentation has become one of the recent researches in medical field. Diagnosis of brain tumor is done with the help of Computed Tomography (CT) scanner, Magnetic Resonance Imaging (MRI) and Angiogram. In this paper, brain tumor detection is done by MRI images. Brain tumor images are acquired, filtered, enhanced and processed by using K-Means Cluster technique and classification of normal and abnormal images are done using Support Vector Machine (SVM) Algorithm. By using the processed image, different parameters of tumor cell such as location, shape and size can be determined precisely.