Code from: Fast and robust curve skeletonization for real-world elongated objects
Principal Investigator(s): View help for Principal Investigator(s) US Department of Agriculture; National Agricultural Library
Version: View help for Version V1
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Project Citation:
US Department of Agriculture, and National Agricultural Library. Code from: Fast and robust curve skeletonization for real-world elongated objects. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-06-26. https://doi.org/10.3886/E250276V1
Project Description
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Code from: Fast and robust curve skeletonization for real-world elongated objects
Summary:
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This record contains C++ code and a Docker release for performing curve skeletonization of objects, which have a voxel representation. Curve skeletonization is used to convert a three-dimensional digital object or shape to locally one-dimensional parts; in other words, to reduce the shape information to a more easily processed form. Our algorithm does so for objects whose surface may be noisy, which is a common occurrence when working with data acquired under real-world conditions. This record also includes a test dataset for verifying that the code is running correctly and as examples of how to convert from different file types. This code is a companion to the paper, “Fast and robust curve skeletonization for real-world elongated objects,” by Amy Tabb and Henry Medeiros, published as part of the IEEE WACV 2018 conference. A free, identical version is available on arXiv:1702:07619[cs.CV] (https://arxiv.org/pdf/1702.07619.pdf).
Open source code can be found at: https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros
Docker container release can be found at: https://hub.docker.com/r/amytabb/curveskel-tabb-medeiros-docker/
We also include the results of using our code on one of the examples so that you can be sure that the code worked correctly. This folder is named 'A_Result' and can be found in the resource titled 'examples.zip'. A README is included in this record as well as in the examples folder. Both the GitHub and Docker repositories contain the test data to confirm that your data is formatted appropriately.
Problems/Comments/Bugs should be addressed to [email protected]
Note: Docker link to Curve Skeleton repository resource was added on 7/30/2018
Resources in this dataset:
Resource Title: Examples of data formats needed to run the code. File Name: examples.zipResource Description: This directory contains a three-dimensional object in voxel representation, in directory "OurFileFormat". "ConversionFromImageSequence" contains files to demonstrate how to convert from the image sequence format common with ImageJ/Fiji to our format using our code. Finally, "A_Result" shows the results from running our code. A README is also included.Resource Software Recommended: Link to Github code,url: https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros
Resource Title: Examples of data formats needed to run the code.
File Name: examples.zip
Resource Description: This directory contains a three-dimensional object in voxel representation, in directory "OurFileFormat". "ConversionFromImageSequence" contains files to demonstrate how to convert from the image sequence format common with ImageJ/Fiji to our format using our code. Finally, "A_Result" shows the results from running our code. A README is also included.
Resource Software Recommended: Link to Github code,url: https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros
Resource Title: README for the example directory. File Name: README_2017.txt
Resource Title: README for the example directory.
File Name: README_2017.txt
Open source code can be found at: https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros
Docker container release can be found at: https://hub.docker.com/r/amytabb/curveskel-tabb-medeiros-docker/
We also include the results of using our code on one of the examples so that you can be sure that the code worked correctly. This folder is named 'A_Result' and can be found in the resource titled 'examples.zip'. A README is included in this record as well as in the examples folder. Both the GitHub and Docker repositories contain the test data to confirm that your data is formatted appropriately.
Problems/Comments/Bugs should be addressed to [email protected]
Note: Docker link to Curve Skeleton repository resource was added on 7/30/2018
Resources in this dataset:
Resource Title: Examples of data formats needed to run the code. File Name: examples.zipResource Description: This directory contains a three-dimensional object in voxel representation, in directory "OurFileFormat". "ConversionFromImageSequence" contains files to demonstrate how to convert from the image sequence format common with ImageJ/Fiji to our format using our code. Finally, "A_Result" shows the results from running our code. A README is also included.Resource Software Recommended: Link to Github code,url: https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros
Resource Title: Examples of data formats needed to run the code.
File Name: examples.zip
Resource Description: This directory contains a three-dimensional object in voxel representation, in directory "OurFileFormat". "ConversionFromImageSequence" contains files to demonstrate how to convert from the image sequence format common with ImageJ/Fiji to our format using our code. Finally, "A_Result" shows the results from running our code. A README is also included.
Resource Software Recommended: Link to Github code,url: https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros
Resource Title: README for the example directory. File Name: README_2017.txt
Resource Title: README for the example directory.
File Name: README_2017.txt
Original Distribution URL:
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https://agdatacommons.nal.usda.gov/articles/software/Code_from_Fast_and_robust_curve_skeletonization_for_real-world_elongated_objects/24660759
Scope of Project
Subject Terms:
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NP305;
C++;
computer code;
3-D conversion;
data.gov;
ARS
Data Type(s):
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program source code
Collection Notes:
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DOI: 10.15482/USDA.ADC/1399689
Citation: Tabb, Amy (2017). Code from: Fast and robust curve skeletonization for real-world elongated objects. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1399689 (Downloaded 2026-06-26)
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