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Abstract
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Article Information:
Image Segmentation with the EM and the BYY Learning
Kai Tian and Hongzhang Jin
Corresponding Author: Kai Tian
Submitted: December 10, 2012
Accepted: January 23, 2013
Published: July 30, 2013 |
Abstract:
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The aim of the study is to present an image segmentation method based on feature space clustering with the Gaussian Mixture Model (GMM) and the Expectation Maximization (EM) algorithm. To address the issue of selection of determining the number of clusters, the Bayesian Ying-Yang (BYY) learning is employed. Moreover, to improve the performance of the segmentation on noisy images, both intensity and spatial position information are employed as features to describe a pixel in the image. The simulation results on images with and without noises validate the performance of the proposed method.
Key words: Bayesian ying-yang learning, clusters, feature space, images segmentation, , ,
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Abstract
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Cite this Reference:
Kai Tian and Hongzhang Jin, . Image Segmentation with the EM and the BYY Learning. Research Journal of Applied Sciences, Engineering and Technology, (12): 2204-2208.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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