edfi

:earth_asia: EDFI is an open-source script to extract data from a 2D or 3D image.

https://github.com/mheriyanto/edfi

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.2%) to scientific vocabulary

Keywords

extract-data image-processing image-reconstruction matlab
Last synced: 6 months ago · JSON representation ·

Repository

:earth_asia: EDFI is an open-source script to extract data from a 2D or 3D image.

Basic Info
Statistics
  • Stars: 5
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Topics
extract-data image-processing image-reconstruction matlab
Created over 6 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

DOI

EDFI

HitCount GitHub language count GitHub top language GitHub repo size GitHub code size in bytes LinkedIn

EDFI is an open-source script to extract data from an 2D or 3D image. EDFI is developed using MATLAB and these steps below: 1. Load image (input.png). I get this image from here

  1. Get data from image using extract_contour.m and get data as result.mat.

  2. Plot result (result.mat) using plotting.m.

License

EDFI is released under the MIT License (refer to the LICENSE file for details).

References

  • (code) EBH. Extracting data from pixels of a contour plot figure in Python or MATLAB. stackoverflow.com.
  • (image) M. Rezaie and S. Moazam. Journal of Mining & Environment,Vol.8, No.3, 2017, 501-510. DOI: 10.22044/jme.2017.953 download

Citation

If you find this project useful for your research, please use the following BibTeX entry.

BibTeX @software{m_heriyanto_2020_3629944, author = {M. Heriyanto}, title = {mheriyanto/EDFI: EDFI v.0.0.2}, month = jan, year = 2020, publisher = {Zenodo}, version = {v.0.0.2}, doi = {10.5281/zenodo.3629944}, url = {https://doi.org/10.5281/zenodo.3629944} }

Owner

  • Name: eMHa
  • Login: mheriyanto
  • Kind: user
  • Location: Banyuwangi, Indonesia
  • Company: TB Geoscience

:robot: Serving EdgeML models at scale. @ezygeo-ai @cctvpintar

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Heriyanto"
  given-names: "Mohammad"
  orcid: "https://orcid.org/0000-0003-2182-2866"
title: "EDFI"
version: v.0.0.2
doi: "10.5281/zenodo.3629944"
date-released: 2020-01-29
url: "https://github.com/mheriyanto/EDFI"

GitHub Events

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Last synced: over 1 year ago

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  • Total Commits: 28
  • Total Committers: 1
  • Avg Commits per committer: 28.0
  • Development Distribution Score (DDS): 0.0
Past Year
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  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
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M. Heriyanto m****o@a****d 28
Committer Domains (Top 20 + Academic)

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Last synced: over 1 year ago

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  • Average comments per issue: 0
  • Average comments per pull request: 0
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Past Year
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  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
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