Use of the Hue Parameter of the Hue, Saturation, Value Color Space As a Quantitative Analytical Parameter for Bitonal Optical Sensors

Abstract

The hue or H component of the hue, saturation, value (HSV) color space has been studied as a quantitative analytical parameter for bitonal optical sensors. The robust nature of this parameter provides superior precision for the measurement of sensors which change colors with the speciation of some indicator molecule. This parameter has been compared to red, green, blue (RGB) intensity and RGB absorbance along with differences and ratios of both intensity and absorbance and has been demonstrated to be 2 to 3 times superior. The H value maintains this superior precision with variations in indicator concentration, membrane thickness, detector spectral responsivity, and illumination. Because this parameter is stable, simple to calculate, easily obtained from commercial devices such as scanners and digital cameras, continuous over the entire color gamut, and bound between values of 0 and 1, it shows great promise for use in a variety of sensing applications including imaging, automated analysis, pharmaceutical sensing, lab-on-a-chip devices, and quality control applications.

Handheld colorimeter for determination of heavy metal concentrations

“…The used scanner has a 6400 x 3200 dpi resolution and a maximum optical density of 4.2 and 24 to 48 bits of colour. The H parameter is calculated from the scanned image using the software Matlab r2007b (The MathWorks, Inc, Natick, MA, USA) [7].…”

“…However, in this work, we used the HSV colour space, whose main characteristic is that it represents the useful information of the colour in one single parameter, the coordinate H (hue). Previous studies from our group have shown that the use of the H coordinate in bitonal sensors that produce a change in colour by reaction yields a substantial improvement in resolution and repeatability [7].…”

Toner and paper‐based fabrication techniques for microfluidic applications

“…For example, many color spaces are available for standardizing color such as RGB -red, green, and blue; CMYK -cyan, magenta, yellow, and black; CIE L à a à b; and HSV -hue, saturation, and value (see the review of Cheng et al [79] for comprehensive mathematical derivation for all of them). The later color space (HSV) was particularly evaluated in quantitative analytical processing by Cantrell et al [80] and they found that the H-parameter was the most robust for quantitative determination when color change was involved in the chemical analysis.…”

A Lateral Flow Smart Phone Image Analysis Diagnostic

“…Colors are present or represented in visual experiences. Color spaces specify colors from the three primary colors; red, green, and, blue [16]. There are many color spaces to quantify color and they can be classified into four groups that are connected by different types of transformations; linear light tristimulus, this color space was created by the International Commission on Illumination (CIE) (CIE XYZ, and CIE RGB), xy chromaticity (CIE xyY), perceptually uniform, and hue oriented (HLS, HSV) [16].…”

“…Color spaces specify colors from the three primary colors; red, green, and, blue [16]. There are many color spaces to quantify color and they can be classified into four groups that are connected by different types of transformations; linear light tristimulus, this color space was created by the International Commission on Illumination (CIE) (CIE XYZ, and CIE RGB), xy chromaticity (CIE xyY), perceptually uniform, and hue oriented (HLS, HSV) [16]. The red, green, blue (RGB) color space is used by scanners and digital cameras; it is an additive representation as all of the colors can be represented as a combination of red, green and blue when these three colors are combined [17].…”