NDLI: A subspace matching color filter design methodology for a multispectral imaging system

Content Provider	IEEE Xplore Digital Library
Author	Du-Yong Ng Allebach, J.P.
Copyright Year	1992
Abstract	In this paper, we present a methodology to design filters for an imaging system to improve the accuracy of the spectral 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. Through simulations, we show how these conditions can be applied to design filters using a set of sample spectral data acquired from extracted teeth. For this set of data, we also compare our results to those of Wolski's method , a conventional filter design method which produces filters that recover tristimulus values of surfaces accurately under several illuminants. We show that our method produces filters that capture the spectral reflectance better given the same number of measurements. The errors in predicting the color of the sample data are much lower under every test illuminant when the filters designed with our method are used
Sponsorship	IEEE Signal Processing Society
Page Count	13
File Size	731025
Starting Page	2631
Ending Page	2643
File Format	PDF
ISSN	10577149
Volume Number	15
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Matched filters Design methodology Multispectral imaging Reflectivity Spatial resolution Colored noise Light sources Digital cameras Digital filters Teeth subspace Color filter design multispectral
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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