### Abstract

We propose a new graph-based approach for performing a multilabel, interactive image segmentation using the principle of random walks. Using the random walk principle, given a set of user-defined (or prelabeled) pixels as labels, one can analytically calculate the probability of walking from each unlabeled pixel to each labeled pixel, thereby defining a vector of probabilities for each unlabeled pixel. By efficiently combining this vector of probabilities obtained for each unlabeled pixel, they can be assigned to one of the labels using the watershed algorithm to obtain an image segmentation. We present quantitative and qualitative results, comparing our new algorithm with the original random walker image segmentation algorithm.

Original language | English (US) |
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Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |

Pages | 1473-1477 |

Number of pages | 5 |

DOIs | |

State | Published - Oct 18 2013 |

Event | 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada Duration: May 26 2013 → May 31 2013 |

### Other

Other | 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 |
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Country | Canada |

City | Vancouver, BC |

Period | 5/26/13 → 5/31/13 |

### Fingerprint

### Keywords

- combinatorial Dirichlet problem
- graph theory
- Image segmentation
- random walks
- watersheds

### ASJC Scopus subject areas

- Signal Processing
- Software
- Electrical and Electronic Engineering

### Cite this

*ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings*(pp. 1473-1477). [6637896] https://doi.org/10.1109/ICASSP.2013.6637896

**Random walker watersheds : A new image segmentation approach.** / Ram, Sundaresh; Rodriguez, Jeffrey J.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.*, 6637896, pp. 1473-1477, 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, 5/26/13. https://doi.org/10.1109/ICASSP.2013.6637896

}

TY - GEN

T1 - Random walker watersheds

T2 - A new image segmentation approach

AU - Ram, Sundaresh

AU - Rodriguez, Jeffrey J

PY - 2013/10/18

Y1 - 2013/10/18

N2 - We propose a new graph-based approach for performing a multilabel, interactive image segmentation using the principle of random walks. Using the random walk principle, given a set of user-defined (or prelabeled) pixels as labels, one can analytically calculate the probability of walking from each unlabeled pixel to each labeled pixel, thereby defining a vector of probabilities for each unlabeled pixel. By efficiently combining this vector of probabilities obtained for each unlabeled pixel, they can be assigned to one of the labels using the watershed algorithm to obtain an image segmentation. We present quantitative and qualitative results, comparing our new algorithm with the original random walker image segmentation algorithm.

AB - We propose a new graph-based approach for performing a multilabel, interactive image segmentation using the principle of random walks. Using the random walk principle, given a set of user-defined (or prelabeled) pixels as labels, one can analytically calculate the probability of walking from each unlabeled pixel to each labeled pixel, thereby defining a vector of probabilities for each unlabeled pixel. By efficiently combining this vector of probabilities obtained for each unlabeled pixel, they can be assigned to one of the labels using the watershed algorithm to obtain an image segmentation. We present quantitative and qualitative results, comparing our new algorithm with the original random walker image segmentation algorithm.

KW - combinatorial Dirichlet problem

KW - graph theory

KW - Image segmentation

KW - random walks

KW - watersheds

UR - http://www.scopus.com/inward/record.url?scp=84890499772&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84890499772&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2013.6637896

DO - 10.1109/ICASSP.2013.6637896

M3 - Conference contribution

SN - 9781479903566

SP - 1473

EP - 1477

BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

ER -