Evaluation of scanner capability for measuring the color of fabrics with different textures in different setups

Fashandi, Hossein; Amirshahi, Seyed Hossein; Tehran, Mohammad Amani; Kandi, Saeideh Gorji

doi:10.1007/s12221-010-0767-4

Cited by 7 publications

(9 citation statements)

References 15 publications

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“…The response variables chosen were the SNR and variance of the RGB values of the scanned image. In each experiment, the mean SNR value was obtained in each color channel, that is, R, G, and B of the scanned image, using Equation (1). In addition, the variance of each color channel, namely, σ 2 R , σ 2 G , and σ 2 B that referred to red, green, and blue channels, respectively, was calculated by Equation (2).…”

Section: The Factorial Designmentioning

confidence: 99%

“…Indeed, the numbers of recognizable R, G, and B values for the 24-bit depth mode are limited to 255, whereas for the 48-bit mode, 65 535 colors are accessible. 1 This issue can increase the signals and subsequently increases the SNR values. Indeed, this finding was predictable because it is well known that noise tends to impact the least significant bit.…”

Section: Analyzing the Main Effectsmentioning

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%

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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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Section: The Factorial Designmentioning

confidence: 99%

Section: Analyzing the Main Effectsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 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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“…During the conversion between CIELAB and CMY colors, the color targets has to be used which includes many color patches (Fashandi et al, 2010). For example the IT8.7/3 target has 928 color patches, and ECI2002 has 1485 patches.…”

Section: Introductionmentioning

confidence: 99%

Calculating cyan-magenta-yellow-black (CMYK) printer gray component data based on polynomial modeling

Sun¹,

Liu²,

Zhou³

2014

Sci. Res. Essays

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As gray color data is very important for printing quality, a method based on polynomial modeling is proposed to calculate the gray color data of different lightness. Firstly, the IT8.7/3 color target which defines input cyan-magenta-yellow-black (CMYK) signals is printed, and the corresponding CIELAB (Commission Internationale de l'Eclairage L*, a* and b*) values are obtained by a spectrophotometer with color sensors. Secondly, the polynomial regression method is used to determine the relationship between these two color spaces, in which the given CIELAB color's CMY value is calculated. At last, as the obtained cyan-magenta-yellow (CMY) gray color may contain Chroma information due to the computational error, a new color target is developed to find the real gray colors based on the relationship above, and the final relationship between CIE-L* and CMY are obtained. In the experiment, the average color error is 2.65ΔE, which is below the printing error threshold, hence the proposed algorithm for calculating gray color data can be used in printing process.

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Effects of Hydrodynamic Diameter of Nanoparticles on Antibacterial Activity and Durability of Ag-treated Cotton Fabrics

Heravi

2020

Fibers Polym

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Evaluation of scanner capability for measuring the color of fabrics with different textures in different setups

Cited by 7 publications

References 15 publications

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

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

Calculating cyan-magenta-yellow-black (CMYK) printer gray component data based on polynomial modeling

Effects of Hydrodynamic Diameter of Nanoparticles on Antibacterial Activity and Durability of Ag-treated Cotton Fabrics

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