The idea behind the project is to implement a strategy to detect brain tumor from the scans obtained via Magnetic resonance imaging using basic Image processing algorithms in Matlab. The algorithm has two stageS- preprocessing followed by segmentation and morphological operations. It uses adaptive K-means for clustering.
Papers referred to:
for Image Processing: IJRET: Rohini Paul Joseph , C. Senthil Singh , M.Manikandan: BRAIN TUMOR MRI IMAGE SEGMENTATION AND DETECTION IN IMAGE PROCESSING Rajesh C. Patil, Dr. A. S. Bhalchandra: Brain Tumour Extraction from MRI Images IEEE: P. Natarajan,N Krishnan Natasha Sandeep Kenkre,Shraiya Nancy,Bhuvanesh Pratap Singh: Tumor detection using threshold operation in MRI brain images
for Adaptive K-Means: Bhatia, Sanjiv. (2004). Adaptive K-Means Clustering.. 10.13140/2.1.4197.9845.