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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© 2004 Springer-Verlag Berlin Heidelberg
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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
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