2005
DOI: 10.1002/col.20169
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Methods of selecting a small reflectance set as a transfer standard for correcting spectrophotometers

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Cited by 2 publications
(4 citation statements)
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References 7 publications
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“…There are many ways to select the training subset. For example, we can randomly pick 12 colors from the 1950 NCS full set, or we can use culling algorithm as described by Ingleson and Brill . In this article, we will discuss a GA, and compare its performance with the random pick and culling algorithm.…”
Section: Reflectance Spectrum Recovery Using Multi‐band Sensor and Mamentioning
confidence: 99%
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“…There are many ways to select the training subset. For example, we can randomly pick 12 colors from the 1950 NCS full set, or we can use culling algorithm as described by Ingleson and Brill . In this article, we will discuss a GA, and compare its performance with the random pick and culling algorithm.…”
Section: Reflectance Spectrum Recovery Using Multi‐band Sensor and Mamentioning
confidence: 99%
“…The “inner loop” subroutine (Figure ) is a culling algorithm, and is in fact the same algorithm used in Ref. —but on a much‐reduced subset of colors. The metric used to evaluate the performance is the average Δ E ab * of the full set of 1950 NCS colors, meaning that after the spectrum transformation matrix was obtained using the selected subset of colors, all the 1950 NCS colors were converted from 10‐channel sensor readings to 32‐wavelength spectra (from 400 to 710 nm with 10‐nm intervals), and the converted spectra were compared to the original ones to get the difference Δ E ab * of each color; then the average Δ E ab * of all the 1950 colors was calculated and used to evaluate the matrix transformation performance.…”
Section: Genetic Algorithmmentioning
confidence: 99%
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