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Reseach Article

Segmentation of CT image using MAP-Model and Simulation Annealing

by Md. Gauhar Arefin, Mithun Kumar P K., Abu Sayem, Md Delowar Hossain, Md Motiur Rahman
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 2
Year of Publication: 2013
Authors: Md. Gauhar Arefin, Mithun Kumar P K., Abu Sayem, Md Delowar Hossain, Md Motiur Rahman
10.5120/9904-4492

Md. Gauhar Arefin, Mithun Kumar P K., Abu Sayem, Md Delowar Hossain, Md Motiur Rahman . Segmentation of CT image using MAP-Model and Simulation Annealing. International Journal of Computer Applications. 61, 2 ( January 2013), 45-48. DOI=10.5120/9904-4492

@article{ 10.5120/9904-4492,
author = { Md. Gauhar Arefin, Mithun Kumar P K., Abu Sayem, Md Delowar Hossain, Md Motiur Rahman },
title = { Segmentation of CT image using MAP-Model and Simulation Annealing },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 2 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 45-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number2/9904-4492/ },
doi = { 10.5120/9904-4492 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:08:02.987798+05:30
%A Md. Gauhar Arefin
%A Mithun Kumar P K.
%A Abu Sayem
%A Md Delowar Hossain
%A Md Motiur Rahman
%T Segmentation of CT image using MAP-Model and Simulation Annealing
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 2
%P 45-48
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Segmentation on Computed Tomography (CT) image of heart and brain can be optimally posed as Bayesian labeling in which the segment of a image is defined as the maximum a posteriori (MAP) probability estimate of the true labeling. The Simulated Annealing (SA) algorithm is used to minimize the energy function associated with MRF posterior distribution function. The goal of this thesis paper is to minimize the energy function using Gaussian distribution and get accurate segmentation by slowly minimize the energy and simultaneously reduce the pixels which have no impact on the image at rapid rate to get the segmentation quickly without degrade the image. The propose algorithm able to get more precise segmentation.

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Index Terms

Computer Science
Information Sciences

Keywords

Segmentation Computer Tomography (CT) Maximum a Posteriori probability (MAP) Markov Random Field (MRF) Simulated Annealing (SA) algorithm