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Sung‐Wook Hwang

Biographic Data

ID10935069
NAMESung‐Wook Hwang
GIVEN NAMESSung‐Wook
FAMILY NAMEHwang
SIGNATUREHWANG S W
AFFILIATIONSKyoto University
ORCID0000-0001-8265-8700
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS1
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2019
H-INDEX1
  • Non-destructive method for wood identification using conventional X-ray computed tomography data

    Open Access•Kayoko Kobayashi, Sung-Wook Hwang et al.•ARTICLE•Journal of Cultural Heritage•2019•Cited by: 1•References: 13

    We establish an efficient and reliable method of wood identification that combines a non-destructive and non-invasive laboratory-scale tool, X-ray computed tomography (CT), with machine learning for image recognition. We selected six hardwood species used to create the Tripitaka Koreana and obtained the X-ray CT data of its woodblocks. Image recognition systems using the gray-level co-occurrence matrix (GLCM) or local binary patterns (LBP) were a…

  • Non-destructive method for wood identification using conventional X-ray computed tomography data

    Open Access•Kayoko Kobayashi, Sung-Wook Hwang et al.•ARTICLE•Journal of Cultural Heritage•2019•Cited by: 1•References: 13

    We establish an efficient and reliable method of wood identification that combines a non-destructive and non-invasive laboratory-scale tool, X-ray computed tomography (CT), with machine learning for image recognition. We selected six hardwood species used to create the Tripitaka Koreana and obtained the X-ray CT data of its woodblocks. Image recognition systems using the gray-level co-occurrence matrix (GLCM) or local binary patterns (LBP) were a…

  • Non-destructive method for wood identification using conventional X-ray computed tomography data

    Open Access•Kayoko Kobayashi, Sung-Wook Hwang et al.•ARTICLE•Journal of Cultural Heritage•2019•Cited by: 1•References: 13

    We establish an efficient and reliable method of wood identification that combines a non-destructive and non-invasive laboratory-scale tool, X-ray computed tomography (CT), with machine learning for image recognition. We selected six hardwood species used to create the Tripitaka Koreana and obtained the X-ray CT data of its woodblocks. Image recognition systems using the gray-level co-occurrence matrix (GLCM) or local binary patterns (LBP) were a…

Artificial Intelligence (1 work) · Computed tomography (1 work) · Computer Science (1 work) · Computer vision (1 work) · Cultural Heritage Materials Analysis (1 work) · Geography (1 work) · Gray level (1 work) · Grayscale (1 work) · High resolution (1 work) · Image Processing and 3D Reconstruction (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae