Version 0.2 - CrackDect: Detecting crack densities in images of fiber-reinforced polymers
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in: SoftwareX, Jahrgang 19.2022, Nr. July, 101198, 09.09.2022.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
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TY - JOUR
T1 - Version 0.2 - CrackDect: Detecting crack densities in images of fiber-reinforced polymers
AU - Drvoderic, Matthias
AU - Bender, Jens J.
AU - Pletz, Martin
AU - Schuecker, Clara
PY - 2022/9/9
Y1 - 2022/9/9
N2 - The new and improved crack detection algorithm from J.J. Bender for the detection of off-axis cracksin composite materials, as well as a general shift-distortion correction for coherent image series isadded to CrackDect.
AB - The new and improved crack detection algorithm from J.J. Bender for the detection of off-axis cracksin composite materials, as well as a general shift-distortion correction for coherent image series isadded to CrackDect.
U2 - 10.1016/j.softx.2022.101198
DO - 10.1016/j.softx.2022.101198
M3 - Article
VL - 19.2022
JO - SoftwareX
JF - SoftwareX
SN - 2352-7110
IS - July
M1 - 101198
ER -
