DGtal
 | |
| Developer(s) | David Coeurjolly, Jacques-Olivier Lachaud, and Bertrand Kerautret |
|---|---|
| Stable release | 0.9.4.1 (2nd April 2018)
|
| Written in | C++ |
| Engine | |
| Operating system | Cross-platform |
| Type | Digital Geometry library |
| License | GNU Lesser General Public License |
| Website | dgtal |
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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[edit]
- ↑ "IAPR Technical Committee 18 "Discrete Geometry and Mathematical Morphology", Code section". Retrieved 26 August 2018.
- ↑ Coeurjolly, David. "DGtal's README.md". GitHub. GitHub. Retrieved 22 August 2018.
- ↑ 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. Retrieved 23 August 2018. Search this book on
- ↑ 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. doi:10.1007/s10851-015-0595-7. ISSN 0924-9907.
- ↑ Levallois, Jérémy; Coeurjolly, David; Lachaud, Jacques-Olivier (2015). "Scale-space feature extraction on digital surfaces". Computers & Graphics. 51: 177–189. doi:10.1016/j.cag.2015.05.023. ISSN 0097-8493.
- ↑ 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. doi:10.1016/j.compag.2014.03.004. ISSN 0168-1699.
- ↑ Coeurjolly, David; Lachaud, Jacques-Olivier; Levallois, Jérémy (2014). "Multigrid convergent principal curvature estimators in digital geometry". Computer Vision and Image Understanding. 129: 27–41. doi:10.1016/j.cviu.2014.04.013. ISSN 1077-3142.
- ↑ "Symposium on Geometry Processing Award Program". Symposium on Geometry Processing. Eurographics. Retrieved 22 August 2018.
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