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. © Springer-Verlag 2004.
CITATION STYLE
Tian, G., & Qi, F. H. (2004). A new boundary preservai and noise removal method combining Gibbs random field with anisotropie-diffusion. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3314, 316–323. https://doi.org/10.1007/978-3-540-30497-5_50
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