Research Article | OPEN ACCESS
A Method Based on Geodesic Distance for Image Segmentation and Denoising
Liu Cuiyun, Zhang Caiming and Gao Shanshan
Department of Computer Science and Technology, Shandong University of Finance
and Economics, Jinan, Shandong, People's Republic of China
Research Journal of Applied Sciences, Engineering and Technology 2014 9:1837-1841
Received: June 05, 2013 | Accepted: July 22, 2013 | Published: March 05, 2014
Abstract
The study introduces image segmentation and denoising method which is based on geodesic framework and k means algorithm. Our method combines geodesic with k means algorithm. What’s more, a denoising method is applied to denoise. We optimize the distance function of k means algorithm to achieve our goals. This method can segment and denoise image which contains a lot of noise effectually.
Keywords:
Geodesic distance, image denoising, image segmentation, k means algorithm,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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