Paper Details: Downloads: 1533
Serial Number: P1151517372
Title: Cellular Automata Clustering Based on Morphological Reconstruction (CACMR)
Authors: G. Srinivasa Rao and V.Vijaya Kumar and Suresh Penmesta.Suresh varma
Abstract: A cellular automaton (CA) is one of the powerful and popular decentralized computing models with a wide variety of applications. The CA consists of an array of similar cells that interact with each another in a neighbourhood relationship and have definite state. The clustering and classifier models of CA are very popular in deriving significant knowledge from the large volumes of data set. The present paper presents a Cellular automata clustering using morphological reconstruction (CACMR) on brain MRI images. The proposed morphological reconstruction operator segments accurately the skull and the brain as well as the background to accurately identify the tumour. For clustering the tumour the present paper uses an efficient cellular automata method based on Moore neighbourhood. The proposed CACMR is tested on brain MRI collected from various websites, and the various statistical measures that indicate the significance and accuracy of the proposed method.
Keywords: Reconstruction, segmentation, MRI, Moore neighbourhood, statistical measures.
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 15
Issue: 2
Submission Date: 4/19/2015 12:00:00 AM
Review Date: 5/8/2015 12:00:00 AM
Publishing Date: 7/17/2015 12:00:00 AM
Article Downloads: 1533
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