• DocumentCode
    3106501
  • Title

    An object recognition through continuous spectral images

  • Author

    Manabe, Yoshitsugu ; Sato, Kosuke ; Inokuchi, Seiji

  • Author_Institution
    Dept. of Syst. Eng., Osaka Univ., Japan
  • Volume
    1
  • fYear
    1994
  • fDate
    9-13 Oct 1994
  • Firstpage
    858
  • Abstract
    A new color image acquisition system which can measure continuous spectral pixel data in order to apply continuous spectral images to object recognition. For segmentation of continuous spectral image, object contours can be detected by checking the correlation coefficient between neighboring pixels. Also the continuous spectral images can be used as reference image when selecting the most suitable imaging sensor, such as a gray scale camera, a RGB camera or a spectral camera with narrow band-pass filter. When investigating features in spectral distribution, object recognition should be simplified for color objects
  • Keywords
    object recognition; color image acquisition system; continuous spectral image segmentation; correlation coefficient; imaging sensor; narrow band-pass filter; object contour detection; object recognition; reference image; Band pass filters; Cameras; Color; Image segmentation; Image sensors; Object recognition; Optical filters; Optical imaging; Pixel; Spectroscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
  • Conference_Location
    Jerusalem
  • Print_ISBN
    0-8186-6265-4
  • Type

    conf

  • DOI
    10.1109/ICPR.1994.576472
  • Filename
    576472