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Evaluation of visual impact of multiple image characteristics observed in edge-grain patterns
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  • 作者:Masashi Nakamura (1)
    Saki Nakagawa (1)
    Takato Nakano (1)

    1. Graduate School of Agriculture
    ; Kyoto University ; Kitashirakawa Oiwake-cho ; Sakyo-Ku ; Kyoto ; 606-8502 ; Japan
  • 关键词:Edge ; grain pattern ; Sensory evaluation ; Image characteristics ; Visual impression ; Multiple regression analysis
  • 刊名:Journal of Wood Science
  • 出版年:2015
  • 出版时间:February 2015
  • 年:2015
  • 卷:61
  • 期:1
  • 页码:19-27
  • 全文大小:971 KB
  • 参考文献:1. Nakamura M (2012) Appearance of wood and wooden interior (in Japanese). Mokuzai Gakkaishi 58:1鈥?0 CrossRef
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    4. Broman NO (1996) Two methods for measuring people鈥檚 preferences for Scots pine wood surfaces: a comparative multivariate analysis. Mokuzai Gakkaishi 42:130鈥?39
    5. Broman NO (2001) Aesthetic properties in knotty wood surfaces and their connection with people鈥檚 preferences. J Wood Sci 47:192鈥?98 CrossRef
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    16. Nakamura M, Miyake Y, Nakano T (2012) Effect of image characteristics of edge-grain patterns on visual impressions. J Wood Sci 58:505鈥?12 CrossRef
    17. Nakamura M, Masuda M, Shinohara K (1998) Multiresolutional image analysis of wood and other materials. J Wood Sci 45:10鈥?8 CrossRef
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    19. Yasuda A, Masuda M, Maku T (1978) Studies on the visual characteristics of wood based materials鈥攆actor analysis on the visual image of the interior wall materials (in Japanese). Wood Res Rev 12:81鈥?01
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  • 刊物类别:Biomedical and Life Sciences
  • 刊物主题:Life Sciences
    Wood Science and Technology
    Materials Science
    Characterization and Evaluation Materials
  • 出版者:Springer Japan
  • ISSN:1611-4663
文摘
Twenty distinct computer-generated softwood-like monochrome edge-grain patterns were printed on matte paper. Four image characteristics including mean growth ring width, growth ring width fluctuation, growth ring contrast, and shading contrast were embedded in the patterns. These image characteristics were expressed numerically by line profile and multiresolution contrast analyses. Five visual impressions, varied, agreeable, vague, showy, and natural, of these patterns on 30 subjects were evaluated by ranking. To determine the importance of each image characteristics on the impressions, a multiple regression analysis was conducted by attributing a criterion variable to an impression and predictor variables to all four image characteristics. This analysis revealed the impacts of the four image characteristics on each impression quantitatively. The results suggested that shading contrast was one of the useful indicators to evaluate surface harmony or homogeneity related to varied impression. Although growth ring width fluctuation had been considered as an important visual feature of wood, its influence on the impressions was extremely small compared with the other three characteristics.

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