Brain tumor detection is an important task in medical image processing. Early diagnosis of brain tumors plays an important role in improving treatment possibilities and increases the survival rate of the patients. The detection of brain tumor from Magnetic Resonance (MR) images is a vital, but time consuming task performed by medical experts. The knowledge of this information regarding tumor in the brain is important for diagnosis planning and treatment. The location of the brain tumor and precise size are detected with brain tumor detection. Sometimes MRI brain images corrupted by some noise. This study focusses on detecting tumor from brain MRI images. By using thresholding technique extraction of the tumor takes place and then calculates the tumor area. The process of identifying brain tumors through MRI images is categorized into four different sections and i.e. pre-processing, image segmentation, feature extraction and image classification. This study can help to detect and extract tumor of any shape, intensity, size and location. The result shows that our project can efficiently enhance and retains the original shape of tumor.

Keywords: Medical image processing, Magnetic Resonance Imaging (MRI), GUI (Graphical User Interface), Pre-Processing and enhancement, Thresholding, Image segmentation, Feature extraction and classification