A MODIFIED VERSION OF MARKOV RANDOM FIELD MODEL FOR IMAGE RESTORATION AND SEGMENTATION

Kuang Jinyu; Zhu Junxiu

Volume 17 Issue 6

Nov. 1995

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Kuang Jinyu, Zhu Junxiu. A MODIFIED VERSION OF MARKOV RANDOM FIELD MODEL FOR IMAGE RESTORATION AND SEGMENTATION[J]. Journal of Electronics & Information Technology, 1995, 17(6): 577-584.

Citation:

Kuang Jinyu, Zhu Junxiu. A MODIFIED VERSION OF MARKOV RANDOM FIELD MODEL FOR IMAGE RESTORATION AND SEGMENTATION[J]. Journal of Electronics & Information Technology, 1995, 17(6): 577-584.

Kuang Jinyu, Zhu Junxiu. A MODIFIED VERSION OF MARKOV RANDOM FIELD MODEL FOR IMAGE RESTORATION AND SEGMENTATION[J]. Journal of Electronics & Information Technology, 1995, 17(6): 577-584.

Citation:

Kuang Jinyu, Zhu Junxiu. A MODIFIED VERSION OF MARKOV RANDOM FIELD MODEL FOR IMAGE RESTORATION AND SEGMENTATION[J]. Journal of Electronics & Information Technology, 1995, 17(6): 577-584.

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A MODIFIED VERSION OF MARKOV RANDOM FIELD MODEL FOR IMAGE RESTORATION AND SEGMENTATION

Received Date: 1994-01-04
Rev Recd Date: 1994-06-13
Publish Date: 1995-11-19

Abstract

Abstract

The current Markov random field models for image restoration and segmentation are discussed. A configuration of the image field is regarded as an optimal estimate of the original scene when its energy is the lowest. However, the lowest energy configuration does not correspond to the scene on the edges, which results in errors of restoration or segmentation. Improvements of the model are made and a relaxation algorithm based on the improved model is presented using edge information obtained by a coarse-to-fine procedure. Some examples are also presented on the application of the algorithm to restoration of noisy images.

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References(1)

References

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