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The use of Gibbs random fields for image segmentation

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3 Author(s)
Tao Wang ; Dept. of Comput. Sci. & Eng., Zhejiang Univ., Hangzhou, China ; Xinhua Zhuang ; Xiaoliang Xing

Presents a robust and adaptive technique for segmentation of a noisy image. The original image is modeled by an underlying Gibbs random field, and the noise is the mixture of an additive independent Gaussian noise and a salt or pepper noise. The processes of maximum a posteriori segmentation and maximum-likelihood estimation for the image model parameters are carried out simultaneously

Published in:

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Date of Conference:

30 Aug-3 Sep 1992