Brain Tumor Detection Using Image Processing Based on Anisotropic Filtration Techniques

Abstract

Whether it is common cold or something as big as a brain tumor, a timely detection of a disease goes a long way in curing of a disease or even the survival of the patient. There are just so much more options available at the initial stage than at the last. There are various ways to detect brain tumor such as neurological exams, computerized tomography (CT), positron emission tomography (PET), and magnetic resonance imaging which have various steps that if not applied carefully may or may not yield helpful results, and these steps are pre-processing which includes noise removal, image enhancement, filtering, edge detection, etc., segmentation, feature extraction such as thresholding and image subtraction, and finally, area estimation. For filtering, we are going to be using anisotropic diffusion filtering techniques which reduces the contrast with nearby neighboring pixels.