DGtal (software library)

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Software

DGtal (Digital Geometry tools and algorithms library) is a software library for digital geometry programming. Its main objective is to structure different developments from the digital geometry, topology and mathematical morphology communities [1]. It offers both geometrical and topological tools, and allows representation of images and objects in n-dimensional digital spaces [2][3].

DGtal was used in a number of applications such as: digital integration and properties of digital objects[4], feature extraction[5], 3D CT image processing for evaluating timber[6], geometric estimators [7].

In 2016 the library was recognized by Symposium on Geometry Processing by its software award [8]. The library was partly developed with the financial support of ANR Project DigitalSnow and ANR Project CoMeDiC.

References

  1. "IAPR Technical Committee 18 "Discrete Geometry and Mathematical Morphology", Code section". https://tc18.org/code.html. Retrieved 26 August 2018. 
  2. Coeurjolly, David. "DGtal's README.md". GitHub. https://github.com/DGtal-team/DGtal/blob/master/README.md. Retrieved 22 August 2018. 
  3. Brimkov, Valentin E.; Barneva, Reneta P. (2012). Digital Geometry Algorithms: Theoretical Foundations and Applications to Computational Imaging. Springer. p. 414. ISBN 978-94-007-4174-4. https://books.google.com.br/books?id=lFOQEr-L9pMC. Retrieved 23 August 2018. 
  4. Lachaud, Jacques-Olivier; Thibert, Boris (2015). "Properties of Gauss Digitized Shapes and Digital Surface Integration". Journal of Mathematical Imaging and Vision 54 (2): 162–180. Template:Citation error. ISSN 0924-9907. https://doi.org/10.1007/s10851-015-0595-7. 
  5. Levallois, Jérémy; Coeurjolly, David; Lachaud, Jacques-Olivier (2015). "Scale-space feature extraction on digital surfaces". Computers & Graphics 51: 177-189. Template:Citation error. ISSN 0097-8493. https://doi.org/10.1016/j.cag.2015.05.023. 
  6. Roussel, Jean-Romain; Motheab, Frédéric; Krähenbühl, Adrien; Kerautret, Bertrand; Debled-Rennessonce, Isabelle; Longuetaud, Fleur (2014). "Automatic knot segmentation in CT images of wet softwood logs using a tangential approach". Computers and Electronics in Agriculture 104: 46-56. Template:Citation error. ISSN 0168-1699. https://doi.org/10.1016/j.compag.2014.03.004. 
  7. Coeurjolly, David; Lachaud, Jacques-Olivier; Levallois, Jérémy (2014). "Multigrid convergent principal curvature estimators in digital geometry". Computer Vision and Image Understanding 129: 27-41. Template:Citation error. ISSN 1077-3142. https://doi.org/10.1016/j.cviu.2014.04.013. 
  8. "Symposium on Geometry Processing Award Program". Eurographics. http://awards.geometryprocessing.org/. Retrieved 22 August 2018.