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Takayuki Okochi

Biographic Data

ID1859006
NAMETakayuki Okochi
GIVEN NAMESTakayuki
FAMILY NAMEOkochi
SIGNATUREOKOCHI T
AFFILIATIONSNara National Research Institute for Cultural Properties
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2008
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…

  • Dendrochronological Dating of Vernacular Folk Crafts in Northern Central Japan

    Yasuharu Hoshino, Takayuki Okochi et al.•ARTICLE•Tree-Ring Research•2008

    We dated vernacular folk crafts (traditional snow shovels) made of beech wood (Fagus crenata Bl.) in north-central Japan. A raw chronology was constructed for the folk crafts, spanning the period from 1721 to 1953 (233 years). The raw chronology was crossdated using a reference chronology in central Japan. Eventually, tree-ring dates were confidently determined for 26 out of 44 samples. The final tree-ring dates of the folk crafts ranged between …

  • 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…

  • Dendrochronological Dating of Vernacular Folk Crafts in Northern Central Japan

    Yasuharu Hoshino, Takayuki Okochi et al.•ARTICLE•Tree-Ring Research•2008

    We dated vernacular folk crafts (traditional snow shovels) made of beech wood (Fagus crenata Bl.) in north-central Japan. A raw chronology was constructed for the folk crafts, spanning the period from 1721 to 1953 (233 years). The raw chronology was crossdated using a reference chronology in central Japan. Eventually, tree-ring dates were confidently determined for 26 out of 44 samples. The final tree-ring dates of the folk crafts ranged between …

  • 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…

Geography (2 works) · Ancient history (1 work) · Archaeology (1 work) · Art (1 work) · Artificial Intelligence (1 work) · Beech (1 work) · Chronology (1 work) · Computed tomography (1 work) · Computer Science (1 work) · Computer vision (1 work)

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