Computer vision techniques for measuring and demonstrating color of textile

Shams‐Nateri, Ali; Hasanlou, Elham

doi:10.1016/b978-0-08-101217-8.00008-7

Cited by 9 publications

(11 citation statements)

References 24 publications

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“…For this purpose, the scanner RGB values were converted to CIE L * a * b * using the sRGB equation. The transformation from the RGB value of scanner to CIEXYZ can be carried out as follows:

((), \begin{matrix} X \\ Y \\ Z \end{matrix}) = ((), \begin{matrix} 0.4125 & 0.3576 & 0.1804 \\ 0.2127 & 0.7152 & 0.0722 \\ 0.0193 & 0.1192 & 0.9503 \end{matrix}) ((), \begin{matrix} R \\ G \\ B \end{matrix})

…”

Section: Resultsmentioning

confidence: 99%

“…In this model, color is defined with respect to a unit cube, and the levels of R, G, and B can be in the range of full intensity of 0% to 100%. 6,13,14 Figure 1 indicates the RGB color space as a three-dimensional matrix with the main colors set out on the axis.…”

Section: The Rgb Systemmentioning

confidence: 99%

“…In addition, due to the advanced functionality and improved quality of scanners, they are now commonly available for the color measurement of objects in different textiles applications. [1][2][3][4][5][6][7] Two technologies used in flatbed scanners are Charge Coupled Device (CCD) and Contact Image Sensors (CIS). CCD-based scanners include an array of tiny sensors or photosensitive cells.…”

Section: Introductionmentioning

confidence: 99%

“…In the last few years, flatbed color scanners as powerful digital image capturing and cost‐effective devices have been used for business applications such as printing, graphic arts, and photography. In addition, due to the advanced functionality and improved quality of scanners, they are now commonly available for the color measurement of objects in different textiles applications . Two technologies used in flatbed scanners are Charge Coupled Device (CCD) and Contact Image Sensors (CIS).…”

Section: Introductionmentioning

confidence: 99%

“…The RGB color system or RGB color space as a device‐dependent color model is generally described as the combination of three main colors, namely, red, green, and blue. In this model, color is defined with respect to a unit cube, and the levels of R, G, and B can be in the range of full intensity of 0% to 100% . Figure indicates the RGB color space as a three‐dimensional matrix with the main colors set out on the axis.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing the setup of a flatbed color scanner for color measurement using full factorial design

Hasanlou

Shams‐Nateri

Izadan

2019

Color Research & Application

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The application of flatbed color scanners for the measurement of color in various industries, especially textile industry, has received a great deal of attention. The initial setup of a scanner and the investigation of factors with a significant effect on scanner outputs are necessary to measure a reliable color using the scanner. In the present study, the setup of a flatbed color scanner was optimized using a full factorial design technique. Three factors, including the scanning position on the glass surface of the scanner (A), cutting size of an image in pixels (B), and bit depth (C), at different levels as input factors, and signal-to-noise ratio and variance of the scanned image as the responses were considered for the evaluation of the reliability of the scanner color measurement. The results of analyzing the factorial design indicate that each of the three factors played a significant role in the scanner setup for the color measurement so that factor A demonstrated the most significant impact on the responses. K E Y W O R D Scalibration, color, factorial design, optimization, scanner, signal-to-noise ratio

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“…For this purpose, the scanner RGB values were converted to CIE L * a * b * using the sRGB equation. The transformation from the RGB value of scanner to CIEXYZ can be carried out as follows:

((), \begin{matrix} X \\ Y \\ Z \end{matrix}) = ((), \begin{matrix} 0.4125 & 0.3576 & 0.1804 \\ 0.2127 & 0.7152 & 0.0722 \\ 0.0193 & 0.1192 & 0.9503 \end{matrix}) ((), \begin{matrix} R \\ G \\ B \end{matrix})

…”

Section: Resultsmentioning

confidence: 99%

Section: The Rgb Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimizing the setup of a flatbed color scanner for color measurement using full factorial design

Hasanlou

Shams‐Nateri

Izadan

2019

Color Research & Application

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Nanophotonic Color Routing

et al. 2021

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Similarly, refraction can sort out light in space following the Fresnel equation and created the spectrometer hundreds of years ago. [12,35] The interference of light is the main working mechanism of multilayer thin film filters. [36,37] Optical properties of microstructures (e.g., gratings) and device performance are usually sizedependent and thus bulky methods in the case of photovoltaics or display are not applicable for imaging, where the dimensions of the image sensor pixels are orders of magnitude smaller than solar cells and display units as shown in Figure 1b,d. It is not only interesting in science to study the fundamental physics in dispersive light manipulating in a scale down to a micron or sub-micron, but also extremely important to develop advanced spectral routing techniques with high-efficiency utilization of the full spectrum for applications such as high-resolution color imaging, [10,38] hyperspectral imaging, [41][42][43] on-chip spectroscopy, [13,[44][45][46][47][48] multi-channel data storage, [49][50][51] color computer-generated hologram, [52][53][54] light fidelity, [55] etc.Recently, nanophotonic spectral engineering technologies have being received tremendous attention and made significant progress. [13,[56][57][58][59][60][61][62] Plasmonic structures demonstrated a color encoding resolution as high as 100 000 dpi. [59] All dielectric metasurfaces presented structural colors with a gamut area of 181.5% of sRGB. [60] Colloid quantum dots were used to form a filter array for an on-chip spectrometer. [13] Sub-10 nm plasmonic resonance linewidth was demonstrated for optical sensing. [61] Reconfigurable spectral response was demonstrated by a combination of chemical and physical colors. [62] There are a number of published reviews on the topic of structural color techniques, which focus on the spectral filtering scheme. [63][64][65][66][67] The key issue of all these spectral filtering techniques is the same to pick out a certain wavelength band from a broadband light source, where efficiency and crosstalk are the main performance parameters. The color routing efficiency is associated with the brightness. The higher the efficiency, the brighter the image. For example, in the case of imaging and display, it is determined by the ratio of the received optical power in the target wavelength band over the whole incident power. Thus, in the case of a usual Bayer array with blue (R), green (G), blue (B) filters, [68] the maximum efficiency of the R pixel is considered to be only 25% (without consideration of unwanted crosstalk) because the light incident to other three pixels will not contribute to the R pixel. The spectral crosstalk is associated with the color purity. The lower the spectral crosstalk, the higher the Recent advances in low-dimensional materials and nanofabrication technologies have stimulated many breakthroughs in the field of nanophotonics such as metamaterials and plasmonics that provide efficient ways of light manipulation at a subwavelength scale. The representative structure-...

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