An Effective Way for Brain Tumor Detection using Morphological Operations and SVM Classifier
13 Abstract Brain is highly specialized organ which helps as control center for functions of the body. Tumor is quick uncontrolled growth of cells. MRI imaging plays an important role in brain tumor analysis and diagnosis. Two dime nsional MRI images are used to process and identify tumor r egion. MRI images are generally degraded with different types of noise. So these noise are removed using pre processing techni ques which improves the visual appearance of image without dis turbing original image attributes. Pre Processing will be p erformed at early stages before dealing with tumor detection an d segmentation. MRI image segmentation will be perfor med to accurately identify region of interest from the images. Feature extraction will be done to capture visual content o f image by using GLCM and region prop method. Later segmentation, shape and texture features associated will image wi ll be extracted. Based on these extracted features brain image will be classified into abnormal and normal. The performance of this system is evaluated based on training performance c lassification accuracies to provide the precise and accurate resu lts.