Erratum: Image-Based 3D Reconstruction of Granular Grains via Hybrid Algorithm and Level Set with Convolution Kernel (J. Geotech. Geoenviron. Eng DOI: 10.1061/(ASCE)GT.1943-5606.0002790)

Pin Zhang, Zhen Yu Yin, Qiushi Chen

Research output: Journal article publicationComment/debate/erratum

Abstract

In the published paper, Tables 1 and 2 were advertently switched. The corrected tables are provided herein. Additionally, the following changes should be made to the text to reflect the correct table callouts: On page 04022021-4, "The hyperparameters of RF are summarized in Table 2 (Probst et al. 2019)."On Page 04022021-6, "Table 3 summarizes the number of each type of grain on the studied slice image, as well as the results generated by the RF-based model and watershed algorithm.

Original languageEnglish
Article number08222001
JournalJournal of Geotechnical and Geoenvironmental Engineering
Volume148
Issue number8
DOIs
Publication statusPublished - 1 Aug 2022

ASJC Scopus subject areas

  • Environmental Science(all)
  • Geotechnical Engineering and Engineering Geology

Fingerprint

Dive into the research topics of 'Erratum: Image-Based 3D Reconstruction of Granular Grains via Hybrid Algorithm and Level Set with Convolution Kernel (J. Geotech. Geoenviron. Eng DOI: 10.1061/(ASCE)GT.1943-5606.0002790)'. Together they form a unique fingerprint.

Cite this