&lt;title&gt;Colorimetric characterization of CCD sensors by spectrophotometry&lt;/title&gt;

Daligault, Laurence; Glasser, Jean

doi:10.1117/12.47154

Cited by 3 publications

(1 citation statement)

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“…Let be a matrix that contains all the resulting channels and be the . Then, (15) can be written as (19) where is the projection onto . The design problem can be thought of as finding the set of filters that when combined with the camera under illuminant will better approximate the singular vectors along which more data are distributed.…”

Section: Color Filter Design For a Trichromatic Cameramentioning

confidence: 99%

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

Allebach

2006

IEEE Trans. on Image Process.

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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.

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Section: Color Filter Design For a Trichromatic Cameramentioning

confidence: 99%

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

Allebach

2006

IEEE Trans. on Image Process.

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Statistical Analysis of Tongue Images for Feature Extraction and Diagnostics

Wang

Zhang

Yang

et al. 2013

IEEE Trans. on Image Process.

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In this paper, an in-depth analysis on the statistical distribution characteristics of human tongue color that aims to propose a mathematically described tongue color space for diagnostic feature extraction is presented. Three characteristics of tongue color space, i.e., tongue color gamut that defines the range of colors, color centers of 12 tongue color categories, and color distribution of typical image features in the tongue color gamut, are elaborately investigated in this paper. Based on a large database, which contains over 9000 tongue images collected by a specially designed noncontact colorimetric imaging system using a digital camera, the tongue color gamut is established in the CIE chromaticity diagram by an innovatively proposed color gamut boundary descriptor using one-class SVM algorithm. Thereafter, centers of 12 tongue color categories are defined accordingly. Furthermore, color distributions of several typical tongue features, such as red points and petechial points, are obtained to build a relationship between the tongue color space and color distributions of various tongue features. With the obtained tongue color space, a new color feature extraction method is proposed for diagnostic classification purposes, with experimental results validating its effectiveness.

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