Brain Tumor Segmentation using K-Means Based Level Sets

Abstract: Image processing is an active research area in which medical image processing is a highly challenging field. Medical imaging techniques are used to image the inner portions of the human body for medical diagnosis. Brain tumor is a serious life altering disease condition. Image segmentation plays a significant role in image processing as it helps in the extraction of suspicious regions from the medical images. In this paper we have proposed segmentation of brain MRI image using K-means clustering algorithm followed by level set method which avoids the misclustered regions that can inevitably be formed after segmentation of the brain MRI image for detection of tumor location.

Keywords: Image Segmentation, MRI, K-means clustering, Level set method.