Detection of Brain Tumor Using Enhanced K-Strange Points Clustering and Morphological Filtering

Image processing has become an emerging area of endless possibilities to explore and advances in this domain are gaining momentum. A brain tumor is an abnormal growth, which is caused due to cells reproducing themselves in an uncontrolled manner. In this paper, a simple and effective algorithm for detecting the presence and area of the tumor in brain MR images is described. Generally, a physician visually examines a CT or an MRI brain scan for the diagnosis of the brain tumor, which is usually a manual process. To avoid this problem, the proposed project aims to automate this problem by making use of a computer-aided method for the detection of brain tumor. This method detects brain tumor tissue with higher accuracy and lesser time as compared to the manual analysis.