An Investigation of Segmentation Techniques in Image Processing for MRI Brain Tumor Images

The main goal of image segmentation is partitioning of an image into a set of disjoint regions that are visually different, homogeneous and meaningful with respect to some characteristics or computed properties, such as grey level, texture or color to enable easy image analysis (object identification, classification and processing). Image segmentation can be classified three categories traditionally including Threshold Technique, Region-Based Image Segmentation, and Edge-Based Image Segmentation. Magnetic Resonance Imaging (MRI) is an advanced medical imaging technique used to produce high quality images of the parts contained in the human body MRI imaging is often used when treating brain tumors. MRI can also be used to measure the tumor’s size. Segmentation is a process of extracting information from an image and to group pixels together into regions of similarity. Image segmentation is typically used to locate objects in images