COI code: JR_IJIEPR-19-1_005
Paper Language: English
How to Download This Paper
For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.
Authors IMAGE SEGMENTATION USING GAUSSIAN MIXTURE MODELRahman Farnoosh - Department of Applied Mathematics, Iran University of Science and Technology
Behnam Zarpak - Department of Applied Mathematics, Iran University of Science and Technology
Abstract:Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we used Gaussian mixture model to the pixels of an image. The parameters of the model were estimated by EM-algorithm.In addition pixel labeling corresponded to each pixel of true image was made by Bayes rule. In fact, a new numerically method was introduced for finding the maximum a posterior estimation by using EM-algorithm and Gaussians mixture distribution. In this algorithm, we were made a sequence of priors, posteriors were made and then converged to a posterior probability that is called the reference posterior probability. Maximum a posterior estimated can determine by the reference posterior probability which can make labeled image. This labeled image shows our segmented image with reduced noises. We presented this method in several experiments.
Keywords:Bayesian Rule, Gaussian Mixture Model (GMM), Maximum a Posterior (MAP), Expectation- Maximization (EM) Algorithm, Reference Analysis
COI code: JR_IJIEPR-19-1_005
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Farnoosh, Rahman & Behnam Zarpak, 2008, IMAGE SEGMENTATION USING GAUSSIAN MIXTURE MODEL, International Journal of Industrial Engineering & Production Research 19 (1), https://www.civilica.com/Paper-JR_IJIEPR-JR_IJIEPR-19-1_005.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Farnoosh, Rahman & Behnam Zarpak, 2008)
Second and more: (Farnoosh & Zarpak, 2008)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)
The University/Research Center Information:
Type: state university
Paper No.: 20366
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.
Research Info Management
Export Citation info of this paper to research management softwares
New Related Papers
- Finding Reorder Point in an Inventory System with Shared Information
- Their Interactions and Relationships
- Solving a Scheduling Problem with Controllable Processing Times by using PTAS algorithm
- Chart Pattern Recognition using the Bees Algorithm
- Intelligent Fault Detection of Electrical Distribution Networks Using Thermo Vision Technique
The Above articles are recently indexed in the related subjects
Iran Scientific Advertisment Netword
Share this paper
WHAT IS COI?
COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.