2000
DOI: 10.1021/ac002788+
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Peer Reviewed: Combining Multispectral Image Information Using Color.

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Cited by 11 publications
(10 citation statements)
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“…Although this model is widely used in colorimetric sensing process for its facile operation, the composition of R, G and B making one digitized color does not change monotonically with spectral wavelength and intensity [28]. It is reported that the difficulties in relating the RGB colors with spectroscopic changes can be solved by using Hue, Saturation and Value color space (HSV) [29].…”
Section: Hsv Color Model Selectionmentioning
confidence: 99%
“…Although this model is widely used in colorimetric sensing process for its facile operation, the composition of R, G and B making one digitized color does not change monotonically with spectral wavelength and intensity [28]. It is reported that the difficulties in relating the RGB colors with spectroscopic changes can be solved by using Hue, Saturation and Value color space (HSV) [29].…”
Section: Hsv Color Model Selectionmentioning
confidence: 99%
“…Afterwards, post-processing software rebuilt the 3D distribution. The program VisualSIMS, developed by the Vienna group, allowed piling up single images data, which could be visualised from arbitrary views of angle [15,16].…”
Section: Analytical Approachmentioning
confidence: 99%
“…A color plotted on the RGB color space can also be transferred to the HSV color space without changing the original color. 7,8 The HSV space has three variables for expressing a color, which are hue (H), saturation (S), and brightness (V) instead of R, G, and B. Even though H, S, and V are needed to fully express a color, only H is needed to discriminate the colors of specific frequencies because H represents the primary colors or combinations of them and distinguishes one color family from another.…”
Section: Introductionmentioning
confidence: 99%