ColorIce: Automated in-plane ice thin section analysis tool

doi: 10.4121/19824067.v2
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19824067
Datacite citation style:
Cody Owen; Hayo Hendrikse (2022): ColorIce: Automated in-plane ice thin section analysis tool. Version 2. 4TU.ResearchData. software. https://doi.org/10.4121/19824067.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
choose version:
version 2 - 2022-10-25 (latest)
version 1 - 2022-05-23

The ColorIce tool contains MATLAB scripts which accept a sequence of photographs of an ice thin section rotated between crossed-polarizers and 1) registers the images, 2) segments the grain boundaries, and 3) identifies the c-axis orientation of each grain in the images.


 A full description of the methodology and application can be found here:  https://doi.org/10.1016/j.coldregions.2022.103735.  For questions about the tool, please contact Cody C. Owen (c.c.owen@tudelft.nl). 

history
  • 2022-05-23 first online
  • 2022-10-25 published, posted
publisher
4TU.ResearchData
format
MATLAB scripts and supporting functions as .m files, example JPEG photograph files, one .csv file.
funding
  • An advanced ice model for application in design of offshore wind turbines susceptible to ice-induced vibrations based on model-scale experiments (SHIVER) | TKITOE_WOZ_1906_TUD_SHIVER | TKI-Energie uit de Toeslag voor Topconsortia voor Kennis en Innovatie van het ministerie van Economische Zaken en Klimaat.
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering

DATA

files (2)