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Title: Parallel Markov Random Fields for Image Segmentation (PMRF-IS) v1.0

Abstract

This software performs multi-label segmentation of 2D/3D images. It is highly accurate, results rely on use of an Markov random field (MRF) formulation. It runs in both shared and distributed memory parallel modes. MRF algorithms are powerful tools in image analysis to explore contextual information of data.

Developers:
; ; ; ; ;
Release Date:
Project Type:
Software Type:
Licenses:
Sponsoring Org.:
USDOE

Primary Award/Contract Number:
AC02-05CH11231
Code ID:
15188
Site Accession Number:
2018-110
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Country of Origin:
United States

Citation Formats

Heinemann, Colleen, Ushizima, Daniela, Camp, David, Bethel, Edward, Sethian, James A., Costa Leite, Talita Perciano, and USDOE. Parallel Markov Random Fields for Image Segmentation (PMRF-IS) v1.0. Computer software. https://www.osti.gov//servlets/purl/1464447. USDOE. 18 Jul. 2018. Web. doi:10.11578/dc.20180723.6.
Heinemann, Colleen, Ushizima, Daniela, Camp, David, Bethel, Edward, Sethian, James A., Costa Leite, Talita Perciano, & USDOE. (2018, July 18). Parallel Markov Random Fields for Image Segmentation (PMRF-IS) v1.0 [Computer software]. https://www.osti.gov//servlets/purl/1464447. doi:10.11578/dc.20180723.6.
Heinemann, Colleen, Ushizima, Daniela, Camp, David, Bethel, Edward, Sethian, James A., Costa Leite, Talita Perciano, and USDOE. Parallel Markov Random Fields for Image Segmentation (PMRF-IS) v1.0. Computer software. July 18, 2018. https://www.osti.gov//servlets/purl/1464447. doi:10.11578/dc.20180723.6.
@misc{osti_1464447,
title = {Parallel Markov Random Fields for Image Segmentation (PMRF-IS) v1.0},
author = {Heinemann, Colleen and Ushizima, Daniela and Camp, David and Bethel, Edward and Sethian, James A. and Costa Leite, Talita Perciano and USDOE},
abstractNote = {This software performs multi-label segmentation of 2D/3D images. It is highly accurate, results rely on use of an Markov random field (MRF) formulation. It runs in both shared and distributed memory parallel modes. MRF algorithms are powerful tools in image analysis to explore contextual information of data.},
url = {https://www.osti.gov//servlets/purl/1464447},
doi = {10.11578/dc.20180723.6},
year = {2018},
month = {7},
note =
}

Software:
Publicly Accessible Repository
https://github.com/tperciano/PMRF-IS

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