Color Image analysis by vector subspace method

S. Toyooka; T. Jaaskelainen; T. Jaaskelainen; S. Izawa; N. Hayasaka; H. Kadono

doi:10.1364/ACV.1992.SaB19

Advances in Color Vision
Technical Digest Series (Optica Publishing Group, 1992),
paper SaB19
•https://doi.org/10.1364/ACV.1992.SaB19

Color Image analysis by vector subspace method

S. Toyooka, T. Jaaskelainen, S. Izawa, N. Hayasaka, and H. Kadono

Advances in Color Vision 1992

Irvine, California United States
31 January–1 February 1992
ISBN:

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Poster Session 2 (SaB)

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S. Toyooka, T. Jaaskelainen, S. Izawa, N. Hayasaka, and H. Kadono, "Color Image analysis by vector subspace method," in Advances in Color Vision, Technical Digest Series (Optica Publishing Group, 1992), paper SaB19.

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Abstract

Spectral characteristics of a color image is conventionally obtained by multi-spectral imaging(1,2). A color image is illuminated by series of light having narrow spectral band equally divided in the visible spectral region. Spectral distribution for each pixel is directly determined by intensity distribution of images for each illuminating light.

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