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96 ABOUT ONE METHOD OF THE SURFACES COLORS MEASUREMENT Iu. Khoroshaylo, S. Efimenko, L. Golovkina, R. Umyarov Kharkiv National University of Radio Electronics, Nauki Ave, 14, Kharkov 61166, Ukraine e-mail: horoshajlo@ ukr.net, serg_efi[email protected], glvvlg@ ukr.net, [email protected] Summary: The report is devoted to one of the topical problems of operational control and measurement of the reflective surfaces color. The theoretical substantiation of colorimetry methods and their practical implementation is given. The results of a study of an optoelectronic colorimeter developed by the authors are presented and practical recommendations for improving the measurement parameters are given. Key words: color, colorimetry, color coordinate system, spectral energy distribution, color coordinates, photo- electric converter, spectral function, electronic colorimetry, functions of addition, colorimetric calculations. INTRODUCTION The basis of the mathematical description of color in colorimetry is the experimentally estab- lished fact that any color can be represented as a mixture of certain quantities of three linearly in- dependent colors, that is, colors that can not each be represented as the sum of any quantities of the other two colors [1]. Three selected linearly inde- pendent colors are called basic colors (red, green, blue); they define a color coordinate system (CCS). 1. Methods for determining color The spectrophotometric method of determining color is based on measuring of the spectral distri- bution of the radiation energy and then calculating the color coordinates when multiplying the found spectral distribution function by three functions of addition and integration of products. The color coordinates Z Y X , , are defined as follows: ()()() , 760 380 λ λ λ λ d x p E X = (1.1) ()()() , 760 380 λ λ λ λ d y p E Y = (1.2) ()()() , 760 380 λ λ λ λ d z p E Z = (1.3) where () λ E - is the source spectral distribution function; () λ p - object spectral reflection or transmis- sion function; () () () λ λ λ z y x , , - functions of addition. Integration is carried out in the wavelength range of visible radiation — from 380 to 760 nm. In the calculation, the integration is replaced by summation over an interval (from 5 to 10 nm), since the integrand spectral functions are usually inconvenient for integration, for example: ()()() . λ λ λ λ λ x p E X D = (1.4) The spectral distribution of radiation and the spectral characteristic of reflection (transmission) are measured by decomposing light into a spec- trum, for example, in a spectrophotometer or a monochromator. Curves of addition are specified in the form of tables of values of specific coordi- nates at 5 or 10 nm. There are also tables of values () λ E () λ x and so on for standard light sources MCO A, B, C, D, representing the most typical conditions of natural (B, C and D) and artificial (A) illumination [1]. The method of color measurement, based on the curves of addition, is based on analyze of the radiation using three light receivers whose spectral sensitivity characteristics coincide with the curves of addition [1]. Each such photoelectric converter performs the multiplication of two spectral func- tions and the integration of products, as a result of which, at its output, the electrical signal is (with the appropriate calibration of the instrument) one of the color coordinates. Such color measuring devices are called photoelectric (or objective) colorimeters. They evaluate the resulting radiation, taking into account the selective reflection (or transmission) of non-self-illuminating objects and the illumination,
Transcript
Page 1: Iu. Khoroshaylo, S. Efimenko, L. Golovkina, R. Umyarov ...metrology-bg.org/fulltextpapers/338.pdf96 ABOUT ONE METHOD OF THE SURFACES COLORS MEASUREMENT Iu. Khoroshaylo, S. Efimenko,

96

ABOUT ONE METHOD OF THE SURFACES COLORS MEASUREMENT

Iu. Khoroshaylo, S. Efimenko, L. Golovkina, R. UmyarovKharkiv National University of Radio Electronics, Nauki Ave, 14, Kharkov 61166, Ukraine

e-mail: horoshajlo@ ukr.net, [email protected], glvvlg@ ukr.net, [email protected]

Summary: The report is devoted to one of the topical problems of operational control and measurement of the reflective surfaces color. The theoretical substantiation of colorimetry methods and their practical implementation is given. The results of a study of an optoelectronic colorimeter developed by the authors are presented and practical recommendations for improving the measurement parameters are given.

Key words: color, colorimetry, color coordinate system, spectral energy distribution, color coordinates, photo-electric converter, spectral function, electronic colorimetry, functions of addition, colorimetric calculations.

INTRODUCTIONThe basis of the mathematical description of

color in colorimetry is the experimentally estab-lished fact that any color can be represented as a mixture of certain quantities of three linearly in-dependent colors, that is, colors that can not each be represented as the sum of any quantities of the other two colors [1]. Three selected linearly inde-pendent colors are called basic colors (red, green, blue); they define a color coordinate system (CCS).

1. Methods for determining colorThe spectrophotometric method of determining

color is based on measuring of the spectral distri-bution of the radiation energy and then calculating the color coordinates when multiplying the found spectral distribution function by three functions of addition and integration of products. The color

coordinates ZYX ,, are defined as follows:

( ) ( ) ( ) ,760

380

λλλλ dxpEX ∫= (1.1)

( ) ( ) ( ) ,760

380

λλλλ dypEY ∫= (1.2)

( ) ( ) ( ) ,760

380

λλλλ dzpEZ ∫= (1.3)

where ( )λE - is the source spectral distribution function;

( )λp - object spectral reflection or transmis-sion function;

( ) ( ) ( )λλλ zyx ,, - functions of addition.Integration is carried out in the wavelength

range of visible radiation — from 380 to 760 nm. In the calculation, the integration is replaced by summation over an interval (from 5 to 10 nm), since the integrand spectral functions are usually inconvenient for integration, for example:

( ) ( ) ( ).λλλλλ

xpEX ∑D= (1.4)

The spectral distribution of radiation and the spectral characteristic of reflection (transmission) are measured by decomposing light into a spec-trum, for example, in a spectrophotometer or a monochromator. Curves of addition are specified in the form of tables of values of specific coordi-nates at 5 or 10 nm. There are also tables of values

( )λE ( )λx and so on for standard light sources MCO A, B, C, D, representing the most typical conditions of natural (B, C and D) and artificial (A) illumination [1].

The method of color measurement, based on the curves of addition, is based on analyze of the radiation using three light receivers whose spectral sensitivity characteristics coincide with the curves of addition [1]. Each such photoelectric converter performs the multiplication of two spectral func-tions and the integration of products, as a result of which, at its output, the electrical signal is (with the appropriate calibration of the instrument) one of the color coordinates. Such color measuring devices are called photoelectric (or objective) colorimeters. They evaluate the resulting radiation, taking into account the selective reflection (or transmission) of non-self-illuminating objects and the illumination,

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97

that is, the device "sees" what the eye sees. The main difficulty in the manufacture of photoelectric colorimeters is the need for an accurate "formation" of the curves of addition, for which the appropriate filters are usually selected.

If the device is designed to work with the curves

of addition zyх ,, , then it is most difficult to form

the two-humped curve x, presented in Figure 1.1.

Figure 1 - Curves of addition for the CCS of the International Lighting Commission XYZ

Usually each of its branches is formed sepa-rately, then the device contains 4 channels (light filter). Sometimes in colorimeters use other CCS, all curves of addition in which one-humped. One of the channels of the colorimeter can simultaneously serve as a bright meter. Often in such devices the chromaticity coordinates are calculated [2].

Color measurements in television consist in the direct determination of the color coordinates [2]. This is not always possible, since in the general case, color light excite color sensations from an arbitrary spectral composition, but color coordi-nates do not physically exist. Direct measurement of the color coordinates is possible in three-color additive color creation devices, used, for example, to reproduce color images. The basic colors of such device determine the color coordinate system, and their amounts in a mixture giving a certain color.

The method of visual colorimetry is based on the color measurement by visual colorimeters. The observer, regulating the number of three primary colors of such device, achieves the visual identity of the color of these mixture colors and the color to be measured [3]. Then, instead of the latter, the color of the mixture is measured. And its color coordinates are simply the quantities of the primary

colors of the colorimeter, referred to the amounts of these same colors that enter the mixture, which gives the reference white color of the colorimeter CCS. Measure the number of primary colors in a visual colorimeter even easier than in a color picture tube. It is sufficient to read the readings of three scales, calibrated by the opening of slits, passing light flows of the corresponding colors to the comparison field [3]. Thus, when using visual colorimeters, the color of the sample is measured not directly, but the colorimeter three primary colors mixture. The process of visual equalization of two colors serves in this case to obtain a metamer of the color of the sample, the color coordinates of which can be easily measured [3]. The advantage of visual colorimetry is the high accuracy of color measurement. The disadvantage is that the results obtained are valid for a particular (performing a visual equalization of two colors), and not for a standard observer. In addition, by method it is difficult to measure the colors of not individual samples, but objects.

The method of color measurement using color atlases consists in a visual comparison of the measured color with a color, the color coordinates of which are known or can be easily measured, and also used in color measurements using color atlases [4]. Color atlases are sets of color samples in the form of colored papers, which are systema-tized in a certain order. When compared with the measured color, a sample from the atlas closest to it is selected. The measured color receives the name of this sample in accordance with the nota-tion system adopted in this atlas. To express it in an international CCS, all samples of the atlas are measured in advance in this system under certain illumination. It is desirable to observe the measured colors under the same illumination. Color atlases make it possible to measure the colors of objects, not just special samples, but the discreteness of the colors set in the atlas reduces the accuracy of measurements, which is further lowered because the conditions of visual comparison are worse here than with visual colorimetry [4]. Often, Rubkin's color atlases are used, in the USA measurements on the Atlas of Mansell (Menzella) [4] are widely used. Color measurements using color atlases are approximate and can be successfully produced wherever high precision is not needed or where it is inconvenient to use other methods.

The method of color measurement with the help of numerical values of its parameters consists

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in the expression of the color in a certain CCS, that is, when you specify its color coordinates (or brightness and chromaticity coordinates), univer-sally and most commonly. But they resort to other methods of quantitative expression of color. An example is the just described color expression in the system of any color atlas. Another such method is the expression of color through its brightness, the prevailing wavelength and the colorimetric purity of the color [4]. The last two parameters characterize the chromaticity. The advantage of this method lies in the close correspondence of the three listed color parameters to the habitual subjective characteristics of it, corresponding to lightness, color tone and saturation. It would be very convenient to characterize the chromaticity by one number. But its two-dimensionality requires for its expression in the general case two numbers. Only for some sets of chromaticities can one use a one-dimensional expression. The first such set is pure spectral colors and pure purple colors, whose chromaticity is determined by the values of the prevailing wavelength. The second set, for which a one-dimensional expression is possible, is the chromaticity of the radiation of an absolutely black body, used to characterize the sources of il-lumination with the color of the glow, close to the color of the white. The value which determine the position of the point on the line of chromaticity of the black body radiation and the chromaticity of the sources mentioned is the color temperature, that is, the temperature in degrees Kelvin of an absolutely black body at which it has this chromaticity.

The principle of the colorimetric measurement method is that the measuring light emitted from the lamp is reflected by the sample and is perceived by three sensors. Filters that create spectral sensitivity in three color channels corresponding to standard spectral functions, as such imitate the spectral sen-sitivity of the retina and correspond to the eye sen-sors [5]. The detection of the sensor signal receives standard XYZ digital values for red, green and blue. Then they are used for all other colorimetric calculations [5]. A simple measurement principle has been created for inexpensive and reliable meas-uring devices. But, despite constant improvements, these measurements do not reach the absolute accuracy of the spectrophotometer. However, they can be used for comparative measurements. Some of the limitations of this system lie in the incom-plete modeling of several types of light, the lack of spectral reflection and measurement.

In this paper, we present the results of a study of the optoelectronic colorimeter developed by the authors (and also the development of practical recommendations for improving the measurement parameters).

Colorimetric methods of measurement are carried out in accordance with the international standard ISO 7724-2. [1]

2. Materials and methodsThe principle of the developed electronic color-

imeter operation is based on the reflection of light. The light emitted from the source is reflected from the surface, then determined and measured by a color sensor. The color of the radiation depends on the color of the surface; white light falling on the red surface is reflected as red. Reflected color hits the sensor, and the sensor converts the color to three R-, G- and B-components. The sensor is con-nected to the microcontroller via the I2C bus. With the help of the microcontroller, the information is processed and output to the indicator. The device is powered by builtin batteries, or the computer's USB port [2].

PC

LCD MC CS

PS, LS

Figure 2 - Structural diagram of the electronic colorimeter

The composition of the developed colorimeter, which realizes the optoelectronic method of color measurement, includes the following modules: MC - microcontroller, PC - personal computer, PS, LS - power supply and linear stabilizer, CS - color sensor, LCD - display.

The basis of the colorimeter is a color sensor (DC) from Avago technologies ADJD-S311-CR999. Its features are integrated preamplifiers, ADC and a digital module that allows to commu-nicate the sensor with an external device (system) via the I2C bus. This allows you significantly minimize the system.

The color sensor is powered from 3V and con-nected to a microcontroller. The SCL and SDA signal lines are connected to the PBO-PBI port. The surface is illuminated using a white LED that

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is connected to the PB5 port.The signal coming from the sensor is processed

by the microcontroller and is displayed. Indicator is connected to two ports of the microcontroller. The data line is connected to the PAO-PA7 port. The control line is connected to the PCO-PC5 bits of port. A converter is connected to the XP7 connector to connect the device to the PC. The converter is connected to the PD0-PD1 bits of port. Buttons are connected to the connectors XP4, XP6 to con-trol the colorimeter. With the help of buttons, the display illumination, sensor illumination, sensor calibration and actual measurement are controlled. The XP5 connector is used for programming the microcontroller. The microcontroller is powered by 3V, this is done to match the microcontroller and the sensor.

To calibrate the device, implementing the opto-electronic method of color measurement, we used a set of light filters whose spectral characteristics are given in Table 1.

The program of the microcontroller ensures the functioning of the entire converter unit as a whole. For this, the program performs the following set of

Table 1

№ the light filter

Wavelength corresponding to the transmission maximum, nm

Width of the transmission band, nm

1 315±5 35±15 2 364±5 25±10 3 400±5 45±10 4 440±10 40±15 5 490±10 35±10 6 540±10 25±10 7 590±10 25±10 8 670±5 20±5 9 750±5 20±5 10 870±5 20±5

functions: control of the analog multiplexer channels switching; digitization of the normalized signal coming from the light sensor to the input of the microcontroller’s ADC; calibration of the signals coming from light sensors; digital filtering and averaging of the obtained measurement results; converting the results of the illumination level measurements into a standard RGB view; transfer on request from the PC measurement results and

calculations on a PC via RS-232 serial communi-cation channel.

Data exchange with a PC is performed using an asynchronous serial data port USART of the microprocontroller. To match the levels of the mi-croprocessor digital signals to the signal levels of the EIA RS-232 standard, the ADM232 converter manufactured by Analog Devices is used.

The program is written in C ++ using the Mi-crosoft Visual C ++ v.6.0 compiler. The appearance of the program is shown in the figure 3.

This program performs the following functions: periodically requests and receives data from the converter unit; displays the obtained results in digital form separately for channels R, G and B; displays the value of the received data in the per-centage of RGB; displays the value of the received data in the form of a rectangular area filled with the corresponding color.

ConclusionsDue to the possibility of the microcontroller

programming, it is possible to increase the relia-bility of color measurements, to improve the cali-bration of the device with increased accuracy and to increase the speed of color measurement results processing, and to create a device for rapid color control (measurement) easy to operate.

Figure 3. - The program window

Literature[1] ISO 7724-2: 1984 «Paints and varnishes –

Colorimetry – Part 2: Colour measurement»).[2] Khoroshailo Y.E., Semenov S.G., Li-

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marenko V.V. Patent na korisnu model № 107317 «Tsifroviy datchik dlya vimіryuvannya koloru» 25.05.2016.

[3] Datacolor; Inc: Datacolor Elrepho [Elec-tronic resource] – Mode of access: http:// indus-trialdatacolor.com/products/, free. Eng. (Date of access: 05.05.2013).

[4] Afanasjev V. A., Natalukha Yu. V., Toka-rev V.V., Khoroshailo Yu.E. 2013. Mathematical model of the method of matching in dynamic sys-tems // Materials of International Technological Conference “Artifical Intelligence, Intellectual Systems 11-2013”. Donetsk.: Nauka i osvita. 9-11. (in Russian).

[5] Prett U. Tsifrovaya obrabotka izobrazhe- niy. – Kn. 1, 2. – M.: Nauka, 2000. – 1024 s.

[6] Patent na Korusnu model № 112299. Color Colorimetr. 2016. Khoroshajlo Y. E., Semenov S. G., Limarenko V. V., Ukraine.

[7] Nondestructivetestin: handbook: in 8 V.V.1:3 books. T. I. / V. V. Klyev, V. F. Muzhitskiy, E. S. Gorkunov et al., by V. V. Klyuev. M.: Pub-lishing houspektr, 2010.

[8] Chatten J. B. Wide – rage chromaticity measurements with photoelectric colorimeter. Text. / J. B. Chatten // Proc. JRE. 1954. – Vol. 42. № 1.

[9] Molnar Istvan. Srines TV – Kpsriilekek Kepemyoszinmerese. Text. / Istvan Molnar // Vil-lamossag. – 1975. Vol. 23, – № 6. P. 182-184.

[10] Teviashev A. D., Shulik P. V. 2002 Estima-tion of Parameters of Mathematical Models of the Elements of Pumping Stations in Real Time. ACS an automation devices. Kharkov: Univ KhTURE, 28-37.

[11] Zienkiewicz O. C., Taylor R. L. 2000. The finite Element Method. Vol. 3: Fluid Dinamics.

Oxford: BH.[12] Semenets V., Natalukha Y., Taranukha

O., Tokarev V. About one method of mathematical modelling of human vision functions. Econtech-mod. An international Quarter journal on econom-ics in technology, new technologies and modelling Processes. Vol. 3 № 3 Lublin – Rzeszow 2014.

Authors' data:Khoroshaylo Iury Evgenyevich,Place of work: prof. of the Kharkiv National Uni-

versity of Radioelectronics, Kharkiv, 61166, Nauki, 14 ave., dep. ECSE, tel. (057) 702-14-94), Ph.D.,

e-mail: horoshajlo @ ukr.net

Efimenko Sergey Andreevich,Ppost-graduate student of the Department

EECSE KhNURE,place of study: Kharkov National University of

Radioelectronics, 61166, Kharkov, Nauki, 14 ave., dep. ECSE, tel. (057) 702-14-94),

e-mail: [email protected]

Golovkina Lyudmilpa Vyacheslavovnaplace of work: associate professor of the

Kharkiv National University of RRadioelectronics, Kharkov, 61166, KKharkov, Nauki,14 ave., dep. ECSE, tel. (0(057) 702-14-94), Ph.D.,

e-mail: glvvlg @ ukr.net

Umyarov Ravil YakovlevichPlace of work: associate professor of the

Kharkiv National University of Radioelectronics, Kharkov, 61166, Kharkov, Nauki, 14 ave., dep. ECSE, tel. (057) 702-14-94),

E-mail: [email protected]


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