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Article Information:
A Method Based on Geodesic Distance for Image Segmentation and Denoising
Liu Cuiyun, Zhang Caiming and Gao Shanshan
Corresponding Author: Gao Shanshan
Submitted: June 05, 2013
Accepted: July 22, 2013
Published: March 05, 2014 |
Abstract:
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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.
Key words: Geodesic distance, image denoising, image segmentation, k means algorithm, , ,
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Cite this Reference:
Liu Cuiyun, Zhang Caiming and Gao Shanshan, . A Method Based on Geodesic Distance for Image Segmentation and Denoising. Research Journal of Applied Sciences, Engineering and Technology, (9): 1837-1841.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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