Title :
Bounding box based automatic segmentation of brain tumors using random walker and active contours from brain MRI
Author :
Juhi, P.S. ; Kumar, Sahoo Subhendu
Author_Institution :
Control & Instrum., Noorul Islam Univ., Kumaracoil, India
Abstract :
This paper reveals a computer aided system aimed at automatically segmenting brain tumors from MRI images is proposed, using bounding box-Active contour and Random walker algorithm. This method performs fast and accurate segmentation results by segmenting the most dissimilar regions of a tumor image. This paper overviews the benefits of automatic segmentation than the manual segmentation algorithms and we are proving that this algorithm is better than most of the segmentation.
Keywords :
biomedical MRI; brain; edge detection; geometry; image matching; image segmentation; medical image processing; neurophysiology; random processes; tumours; Random walker algorithm; automatic brain tumor segmentation; bounding box based segmentation; bounding box-active contour method; brain MRI; computer aided system; manual segmentation algorithm; random walker; tumor image dissimilar region segmentation; Accuracy; Active contours; Educational institutions; Image segmentation; Instruments; Magnetic resonance imaging; Tumors; Active contour; Fast bounding box; Random walker segmentation;
Conference_Titel :
Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4799-4191-9
DOI :
10.1109/ICCICCT.2014.6993050