Characterization and Area Estimation of Brain Tumor Using Optimized Clustering Algorithm

Abstract

This paper deals with the implementation of Simple Algorithm for detection of range and shape of tumor in brain MR images.This project uses computer aided method for segmentation (detection) of brain tumor by applying Optimized Clustering K-means algorithm. This segmentation process includes a new mechanism for clustering the elements of high-resolution images in order to improve precision and reduce computation time. The system applies K-means clustering to the image segmentation after optimized by hybrid Clustering Algorithm.
Keywords—ARDUINO; Abnormalities; Brain tumor; Fuzzy C-means; kmeans; Magnetic Resonance Iaging(MRI); Preprocessing; Thresholding