A New Boundary Preserval and Noise Removal Method Combining Gibbs Random Field with Anisotropic-Diffusion

Tian, Guang; Qi, Fei-hu

doi:10.1007/978-3-540-30497-5_50

Guang Tian¹⁹ &
Fei-hu Qi¹⁹

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3314))

Included in the following conference series:

International Conference on Computational and Information Science

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Abstract

In this paper, we present a new filter model which combines Gibbs random field with anisotropic-diffusion. The Gibbs random field is used to determine the boundaries of the objects in image according to the spatial information of image. Then the anisotropic-diffusion propagates different energy at different orientation with respect to conduction coefficient, and stops diffusing at the boundaries of the objects in image. We also provide the numerical implementation of the proposed method. The numerical experimental results show that our method has a high performance.

Our work is supported by the National Natural Science Founds of China(N.o. 60072029).

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Authors and Affiliations

Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
Guang Tian & Fei-hu Qi

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Guang Tian
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Fei-hu Qi
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Editors and Affiliations

School of Electronic Science and Technology, Anhui University, Hefei, Anhui, China
Jun Zhang
College of Science, Donghua University, 1882 Yan’an Xilu Road, 20051, Shanghai, China
Ji-Huan He
BASICS, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China
Yuxi Fu

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Tian, G., Qi, Fh. (2004). A New Boundary Preserval and Noise Removal Method Combining Gibbs Random Field with Anisotropic-Diffusion. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_50

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DOI: https://doi.org/10.1007/978-3-540-30497-5_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24127-0
Online ISBN: 978-3-540-30497-5
eBook Packages: Computer ScienceComputer Science (R0)

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