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Proceedings Paper

Application of categorical colors to area segmentation for road image
Author(s): T. Ashiguchi; T. Yaguchi; K. Kijima; S. Ishida; Y. Nakanishi; K. Shoji; M. Ayama
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Paper Abstract

Humans can put different colors together and categorize them as "red", "yellow", or "orange" etc. This is called categorical color perception. We applied this property of human color vision to area segmentation for road images in order to compensate color tone change of road images depending on light condition on a road. Basic map of categorical colors is constructed in the L*a*b* space based on the color naming experiment. Area segmentation was done by assigning one of the 14 categorical colors to each pixel. Results were successful, even without any noise reduction technique, A shifted database of categorical colors for images with orangish tone is also prepared by trial and error. Pseudo-color-constancy is successfully obtained for the images of orangish tones using the shifted database. To deal with the lightness change depending on the change of sunlight along the time of day, an appropriate value was added to the lightness of each pixel of the original image. Satisfiable area segmentation was obtained in this case, too. This method indicates the possibility of implementation of color constancy property for color image processing of road scene.

Paper Details

Date Published: 19 January 2009
PDF: 8 pages
Proc. SPIE 7241, Color Imaging XIV: Displaying, Processing, Hardcopy, and Applications, 72410K (19 January 2009); doi: 10.1117/12.805769
Show Author Affiliations
T. Ashiguchi, Utsunomiya Univ. (Japan)
T. Yaguchi, Utsunomiya Univ. (Japan)
K. Kijima, Utsunomiya Univ. (Japan)
S. Ishida, Honda R&D Co., Ltd. (Japan)
Y. Nakanishi, Honda R&D Co., Ltd. (Japan)
K. Shoji, Utsunomiya Univ. (Japan)
M. Ayama, Utsunomiya Univ. (Japan)

Published in SPIE Proceedings Vol. 7241:
Color Imaging XIV: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Shoji Tominaga; Alessandro Rizzi, Editor(s)

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