IEICE Electronics Express
Online ISSN : 1349-2543
ISSN-L : 1349-2543
Volume 2 , Issue 14
Showing 1-3 articles out of 3 articles from the selected issue
LETTER
  • Satoshi Sugaya, Tatsuo Nomura
    2005 Volume 2 Issue 14 Pages 411-416
    Published: 2005
    Released: July 25, 2005
    JOURNALS FREE ACCESS
    We propose a direct-view type super large-screen spherical display using optical fiber matrix arrays. This technique realizes tiled-vision and seamless panel in form and also in luminance, and enables super large-screen display. And this technique realizes the display with arrangemental flexibility, such as a curved surface, and enables spherical display. Moreover, this technique also realizes high definition easily. We examine the possibility of this technique by experiments.
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  • Atsushi Yarai, Takuji Nakanishi
    2005 Volume 2 Issue 14 Pages 417-422
    Published: 2005
    Released: July 25, 2005
    JOURNALS FREE ACCESS
    An optical fiber humidity sensor based on a thermal lens detection technique is proposed. This sensor allows us to measure humidity without special treatment of the clad of optical fiber in spite of a certain optical absorption path-length under 50µm. Because of this, we believe that our humidity sensor will have a long lifetime satisfying uses with severe requirements. Our sensor is also extremely small (e.g., 20mm in length and 5mm in diameter) and robust. It is also confirmed that our optical fiber humidity sensor can measure absolute humidity.
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  • Chunghsin LIAO, Thi Thi Zin, Toyohisa KANEKO, Hiromitsu HAMA
    2005 Volume 2 Issue 14 Pages 423-428
    Published: 2005
    Released: July 25, 2005
    JOURNALS FREE ACCESS
    We propose a robust segmentation system for road traffic signs using adaptive thresholds. The main objective is to develop a robust segmentation system under various illumination conditions. The main problem is how to obtain the best suited threshold for relative similarity. It can be got automatically by K-nearest connectivity when K=4 and the two-way connectivity method. Our system utilizes relative similarity of neighborhood pixels and shape information of traffic signs together. The effectiveness of our proposed system is confirmed through experiments under various illumination conditions. In the experiments, 90 images taken under daytime, evening and night-time are used. The system can give 98% successful segmentation rate.
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