Brain tumor detection based on segmentation using MATLAB
Animesh Hazra, Ankit Dey, Sujit Kumar Gupta, Md. Abid Ansari · 2017
An unusual mass of tissue in which some cells multiplies and grows uncontrollably is called brain tumor. It starts growing inside the skull and interpose with the regular functioning of the brain. It needs to be detected at an early stage using MRI or CT scanned images when it is as small as possible because the tumor can possibly result to cancer [1]. This paper, mainly focuses on detecting and localizing the tumor region existing in the brain by proposed methodology using patient's MRI images. The proposed methodology consists of three stages i.e. pre-processing, edge detection and segmentation. Pre-processing stage involves converting original image into a grayscale image and removes noise if present or crept in. This is followed by edge detection using Sobel, Prewitt and Canny algorithms with image enhancement techniques. Next, segmentation is applied to clearly display the tumor affected region in the MRI images. Finally, the image is clustered using the k-means algorithm. Here we have used MATLAB for the development of the project.