Luis Galo Corzo and Jose Antonio Penaranda and Peter Peer (2005) Estimation of a fluorescent lamp spectral distribution for color image in machine vision. Machine vision and application, 16 (5). pp. 306-311.
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.
|Item Type: ||Article|
|Keywords: ||Machine vision, Illumination spectral distribution, Quadratic programming, Constrained least square|
|Language of Content: ||English|
|Related URLs: |
|Institution: ||University of Ljubljana|
|Department: ||Faculty of Computer and Information Science|
|Divisions: ||Faculty of Computer and Information Science > Computer Vision Laboratory|
|Item ID: ||197|
|Date Deposited: ||13 Mar 2006|
|Last Modified: ||10 Dec 2013 14:36|
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