A new boundary preserval and noise removal method combining gibbs random field with anisotropic-diffusion

Authors:
Guang Tian;Fei-hu Qi
Affiliations:
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
Venue:
CIS'04 Proceedings of the First international conference on Computational and Information Science
Year:
2004

Citing 4
Cited 0

Scale-Space and Edge Detection Using Anisotropic Diffusion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Biased anisotropic diffusion: a unified regularization and diffusion approach to edge detection

Image and Vision Computing - Special issue on the first ECCV 1990
Image selective smoothing and edge detection by nonlinear diffusion. II

SIAM Journal on Numerical Analysis
Stereo Matching with Nonlinear Diffusion

International Journal of Computer Vision

Quantified Score

Hi-index	0.01

Visualization

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.