An adaptive filtering technique for brain tumor analysis and detection

Brain tumor detection in an early stage is a difficult task, as the imaging is quite unclear. The necessity of automated brain tumor segmentation and detection is high. To obtain an accurate MRI image of the brain tumor is challenging. An MRI image has high contrast images indicating regular and irregular tissues that help in differentiating the overlap margins. But in case of an early brain tumor, the edges of the image are not sharp which causes the segmentation results to be inaccurate. Hence, this paper puts forth a method for detection and segmentation of the tumor. The method proposed here is a segmentation process of 2D MRI image using various filtering techniques. MATLAB has been used for the implementation.