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2014 (Vol. 7, Issue: 9)
Article Information:

A Method Based on Geodesic Distance for Image Segmentation and Denoising

Liu Cuiyun, Zhang Caiming and Gao Shanshan
Corresponding Author:  Gao Shanshan 

Key words:  Geodesic distance, image denoising, image segmentation, k means algorithm, , ,
Vol. 7 , (9): 1837-1841
Submitted Accepted Published
June 05, 2013 July 22, 2013 March 05, 2014

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.
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  Cite this Reference:
Liu Cuiyun, Zhang Caiming and Gao Shanshan, 2014. A Method Based on Geodesic Distance for Image Segmentation and Denoising.  Research Journal of Applied Sciences, Engineering and Technology, 7(9): 1837-1841.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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