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Review of Random Walk in Image Processing

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Abstract

The random walk, proposed in 1905, was applied into the field of computer vision in 1979. Subsequently, more and more researchers paid their attention to this new method. Recently it has become prevailing as to be widely applied in image processing, e.g. image segmentation, image fusion, image enhancement and so on. Until now there is no comprehensive review on random walk in image processing yet. Therefore, almost important references are reviewed in the paper, and six representative random walk models have been listed and explained in detail. And then their applications of random walk in image processing are introduced. At last, some existed problems and future work are pointed out.

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Acknowledgements

This work was jointly supported by National Natural Science Foundation of China (Grant No. 61201421), China Postdoctoral Science Foundation (Grant No. 2013M532097).

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Authors and Affiliations

  1. School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, China

    Zhaobin Wang, Lijie Guo, Shuai Wang, Lina Chen & Hao Wang

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  1. Zhaobin Wang
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  2. Lijie Guo
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  3. Shuai Wang
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  5. Hao Wang
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Correspondence to Zhaobin Wang.

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Wang, Z., Guo, L., Wang, S. et al. Review of Random Walk in Image Processing. Arch Computat Methods Eng 26, 17–34 (2019). https://doi.org/10.1007/s11831-017-9225-4

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