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DGtal (software library)

From EverybodyWiki Bios & Wiki

DGtal
Developer(s)David Coeurjolly, Jacques-Olivier Lachaud, and Bertrand Kerautret
Stable release
0.9.4.1 (2nd April 2018)
Written inC++
Engine
    Operating systemCross-platform
    TypeDigital Geometry library
    LicenseGNU Lesser General Public License
    Websitedgtal.org

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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]

    1. "IAPR Technical Committee 18 "Discrete Geometry and Mathematical Morphology", Code section". Retrieved 26 August 2018.
    2. Coeurjolly, David. "DGtal's README.md". GitHub. GitHub. 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. Retrieved 23 August 2018. Search this book on
    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. doi:10.1007/s10851-015-0595-7. ISSN 0924-9907.
    5. 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.
    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. doi:10.1016/j.compag.2014.03.004. ISSN 0168-1699.
    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. doi:10.1016/j.cviu.2014.04.013. ISSN 1077-3142.
    8. "Symposium on Geometry Processing Award Program". Symposium on Geometry Processing. Eurographics. Retrieved 22 August 2018.


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