Open AccessAutomated Brain Tumor Detection and Segmentation from MRI Images using Adaptive Connected Component Pixel Segmentation
Author(s) -
J. Martin Sahayaraj,
Neethu Subash,
S. Jaya Pratha,
N. Tamilarasan
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i7484.119119
Subject(s) - segmentation , artificial intelligence , image segmentation , computer science , magnetic resonance imaging , pixel , computer vision , ligament , component (thermodynamics) , brain tumor , pattern recognition (psychology) , medicine , radiology , pathology , physics , thermodynamics
Magnetic resource imaging (MRI) imagesare used in examining the soft tissues which include brain tumors, ligament and tendon injury, spinal cord injury. Gray scale image processing is good for basic segmentation application.The exact location of brain tumor and its length is hard to find.This paper proposes an efficient method to segment the brain tumor. The result shows good segmentation accuracy.