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Estimation of a fluorescent lamp spectral distribution for color image in machine vision

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Abstract

We present a technique to quickly estimate the Illumination Spectral Distribution (ISD) in an image illuminated by a fluorescent lamp. It is assumed that the object colors are a set of colors for which spectral reflectances are available (in our experiments we use spectral measurements of 12 colors checker chart), the sensitivities of the camera sensors are known and the camera response is linear. Thus, the ISD can be approximated by a finite linear combinations of a small number of basis functions.

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Authors and Affiliations

  1. CEIT and Tecnun (University of Navarra), Manuel de Lardizabal 15, 20018, San Sebastian, Spain

    Luis Galo Corzo, Jose Antonio Peñaranda & Peter Peer

Authors
  1. Luis Galo Corzo
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  2. Jose Antonio Peñaranda
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  3. Peter Peer
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Correspondence to Luis Galo Corzo.

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Corzo, L.G., Peñaranda, J.A. & Peer, P. Estimation of a fluorescent lamp spectral distribution for color image in machine vision. Machine Vision and Applications 16, 306–311 (2005). https://doi.org/10.1007/s00138-005-0002-2

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  • DOI: https://doi.org/10.1007/s00138-005-0002-2

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