Paper
18 December 2003 A subspace matching color filter design methodology for a multispectral imaging system
Author Affiliations +
Proceedings Volume 5293, Color Imaging IX: Processing, Hardcopy, and Applications; (2003) https://doi.org/10.1117/12.530394
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
Attaching filters to an imaging system will modify the way it captures a color stimulus. In this paper, we develop a methodology to design filters to improve the accuracy of the measurements for families of reflective surfaces. We derive the necessary and sufficient conditions that the sensor space of the system must obey in order to measure the spectral reflectance of the surfaces accurately. These conditions are applied in our filter design method. We also compare our results to those of Wolski’s, a conventional filter design method that attempts to make the system work colorimetrically. We show that our method produces filters that capture the spectral reflectance better given the same number of measurements.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Du-Yong Ng and Jan P. Allebach "A subspace matching color filter design methodology for a multispectral imaging system", Proc. SPIE 5293, Color Imaging IX: Processing, Hardcopy, and Applications, (18 December 2003); https://doi.org/10.1117/12.530394
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Cited by 1 scholarly publication.
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KEYWORDS
Optical filters

Reflectivity

Cameras

Sensors

Imaging systems

Teeth

Transmittance

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