This standard specifies a method for calculating the color difference between two samples of the same material under the same conditions. GB/T 8424.3-2001 Textiles color fastness test color difference calculation GB/T8424.3-2001 standard download decompression password: www.bzxz.net

ICs 59. 080. 01
National Standard of the People's Republic of China
GB/T8424.3—2001
eqv1S0 105-J03:1995
Textiles Tests for colour fastnessCalculation of colour Published on February 26, 2001
Implemented on September 1, 2001
Published by the State Administration of Quality and Technical Supervision
CB/8424-3-2001
This standard is based on IS0105JU3:155 Textiles; Annual Color Testing-Part 1: Color Difference Meter, and the text after formulation is equivalent to TIS105-j03:1095
This standard is used to calculate the color difference between two samples of the same material under the same conditions. If this method is used, the difference between the colors can be described in digital form
The result is explained in the appendix. The verification data used in the calibration of the computer program is provided. The appendix is ​​a color difference calculator. The appendix A, appendix B and appendix C of this standard are all informative appendices. This standard was proposed by the National Textile Industry Bureau. This standard was issued by the National Textile Standardization Technical Committee Basic Standards Technical Committee. This standard was drafted by Tianjin Textile Industry Research Institute. The main drafters of this standard are Liu Jianhua, Yunlie, Shi Tongchen and Le Jian. GB/T 8424.3—2001 ISO International Organization for Standardization (ISO) is an international federation of national standards organizations (ISOs). The preparation of international standards is usually proposed by ISO technical committees. Members have the right to propose to the committee if they are interested in items that have been established by the technical committee. International organizations that have established relevant international organizations and have contacted the ISO center may also participate in the work. ISO All matters concerning electrical and electronic technology standardization are handled in accordance with the ISO/TC38/SC Technical Committee. The draft international standard adopted by the technical committee is circulated to the members and published as a national standard. The international standard TS0105-J03 is formulated by the ISO/TC38/SC Technical Committee Subcommittee on Testing of Color Textiles, Pharmaceuticals and Dyes. This standard [S135-J0%] is formulated in accordance with the third edition of ISO105-J01:1989. 13 "parts" have been published so far. Each part uses an alphabetical order. The edition is 1978, and each part consists of a series of chapters. Each part belongs to the corresponding part and is indicated by a two-digit serial number (i.e., "4!!1". These have now been published as separate documents. Their original "sub- ... 424-32001
eq1s155-1031995
This standard specifies a method for calculating the color difference between two samples of alternating materials under the same machine. The total color difference E, (>) can be used to normalize the degree of color mismatch between the two test groups. It allows a large range of color differences (tolerances) to be used. This technical specification of the full difference only determines the required exact match and is independent of the properties of the color and color difference. The method provides a method for determining the color difference, chroma difference and hue difference.
2 Terms
When calculating the color difference between two samples, the market (MC) (· inclusive difference formula is used for comparison. Its average accuracy can be obtained. This formula is based on the correction of CIE1S761.A (6) to provide a value of E. to indicate the color difference between the sample and the standard in a near-average color space. It can be expressed as a simple allowable value (which can be expressed as "acceptable" or "acceptable/not acceptable" tolerance). The tolerances in the color matching package are independent of the color of the standard sample and are derived from the circular shadow axis (S. and S.), while providing three separate factors that represent color difference (lightness, chroma and hue). The method is applicable to a wide range of states. The E formula describes a fine sphere centered on the standard sample (with axes for lightness, chroma and hue!), and the agreed-upon -acceptability full difference indicates the range of space in which all samples that can match the standard are located. Color difference consists of three indices that include the difference between the standard and the sample: they are: a) - A lightness index composed of the weights of the brightness tolerance (/2S.). It is represented by 4. If it is a positive number, the sample is brighter than the standard. If it is a negative value, the sample is less bright than the standard.) A hue index composed of the weights of the chroma tolerance (C/S). It is represented by F. If Cm is a positive number, the sample is brighter than the standard. If Cm is a negative number, the sample is less chromatic than the standard.) A chroma index composed of the weights of the chroma tolerance (H:/S!). It is represented by H. If H. is a positive number, the hue difference of the sample is in the counterclockwise direction from the starting point of the standard in the CIELAB system. If A is a negative value, the hue difference of the sample is in the u of the CIELAB system, as shown in Figure 1. With the standard sample as the starting point and in clockwise direction, 3.1 CIELAB value calculation
The XY2 three-pronged method for calculating the CIELAB La' and -Ch values ​​of the standard sample and the test sample is as follows; L116(Y/Y,3-16
.*-9n3.S(Y/Y.)
a=500LftX/X.>-f(Y/Y,1
National Quality Technical Supervision Package 200-Late 26 Approved Y/>.008856
When /Y0.008B56
2001-D9-01 An Nao||t t||t=2005/(Y/Y,)F(Z/2,!
Where:
+(X/x)=(X/X,)
F(X/XJ=7.787(X/X.)--16/116
f(Y/\.)-.Y/Y...|| tt||f(V/:-7.787(Y/Y.)-16/116
Ftz/2,)(z/z.
/(2/2.17.737(Z/7.)+16/116
Ci=fa-1+6*ty2
GR/T 424. 3.-- 2001
When X/X.>0.008856
When X/X 0.008856
When Y/0.008856
When Y/Y ≤ 0.D08RG
When Z/2,2>0.C0R 95S
When Z/2,≤0.0n8 856
When the positive coordinate axis is ( and the positive coordinate axis is 9, the value is AMAm(). It is expressed as ~30. The formula X, Y, and is the three-dimensional color difference of CMC (1) under the conditions of the image/viewer, with D/10 as the reference. Table】Give the values ​​of the other five conditions: comprehensive two-stimulus value of light source/observer
light source/observer
3.2 Calculation of CIELAB color difference value Ⅱwww.bzxz.net
1:1-144
three-light position
Use the following formula to calculate the CIELAB color difference Lu,,C%,E,AH, where the subscripts R and S are the CELAB values ​​of the standard and sample respectively:
Da'—aaR
a=CN s-CE,
E[(+(+(
H\A(A(
where:
m=h,g hb.R
When [m]180
When 180
Here, it represents this value, which has nothing to do with the symbols between the two. The formula is:
AH =[2(CCLR --aeR -bIbh)_n
3.3CMC color difference E..G:) The calculation formula of
CMC color difference can be obtained by:
GB,T 8424. 3-- 2C01
AE.:)=/S.)-(AG/S+A/SH
S: -:0. 940 975 1/(1+0. 013 1,When Le15S, . 511,When
5.-:0. C63 R(/(:+3. 013 1 C1-) 1+0. 538$H(r+1-FS.
Wuzhong:|| tt||P=+(+++1 SG*
T*. 36+It.. 4en*(35+..-2]
n.66+0.2enf16-l.1
when%164.343
161h,345
, the low pass Take the values ​​as 2.0 and 1.0, this is a comparison of the impact of the "half-measurement" effect of the typical sample, and you have a good comparison of the quality of the sample. If the surface of the product is not selectively constructed, the fabric will be The surface is obviously different, but the numbers that can be shared by the river are 4 calculation reports. The report includes the following contents: a) the code and year of the current version. That is, GE/T8424. 3-2001) Detailed information required to describe the characteristics of the sample and standard: c) Identify the spectrophotometer or colorimeter, including the (IE several examples of condition types! 1) ≥Em of the sample value;| |tt||) and the value of CMC (2:
! The illumination body and the observer case are taken into account in the calculation, \1C\];) The acceptable error for judging whether the shaving is qualified or not (See Appendix A) 1h) When necessary, give the CMC sub-item color aCsaH gate and, when necessary, give the CIELABL,,, and values ​​of the standard and test samples and the related,,\, station, % and AH product values: | |tt||) Daily stall reported,
GB/T8474.32GB1
Appendix A
(Ti Yi's gradual record)
Han Guo's statement| |tt|| is the "benzene some special ball requirements, vice versa color matching called acceptability, the user determines a cavity related department approved "tolerance\ when compared with the approved tolerance, if or sample and standard match , the value obtained can be used as a means of decision. The samples compared with the standard will be divided into two categories. Those with E values ​​less than or equal to the tolerance are qualified samples, while those with αE values ​​greater than the tolerance are unqualified samples. Formula 5.1 shows The ellipsoid centered on the standard sample (with coordinates of lightness, chroma and hue). The length of the semi-coordinate of the spherical sample is defined by: 5, 5, and when the difference is agreed upon, a The reward for the position and accumulation. Everything falls on this body! The samples within the range can be considered to match the standard sample shape or acceptance. In some applications, the acceptable samples are divided into groups, and any group is divided into groups with the same color. Describe the relationship between the cabinets of the specimens and the applicable situations. For example, a processing net is limited to a load. In such an application (moving to a rectangular classification, of course), an acceptable small capacity range must be determined. Each small volume The size of the MC can be divided into three half-life coefficients, and the total acceptability volume can be evenly divided by such a small number. Figure A1 shows the classification of "555\ Of course, the color E is effective for non-color samples. When the quality is %.4., in addition to the brightness difference, Other classifications are not effective. When the brightness and hue differences are often inconsistent with the visual evaluation, in order to achieve the classification standard, it is still effective to use a separate classification method to eliminate the small difference between each classification system. ：STD
Figure A1 in the acceptable capacity run "565 classification (flat break) B
(prompt sweet)
verification receipt used when checking the computer program in order to A computer program was used to test the AE values ​​obtained from the M core formula. Some representative test data are given in Table B1. The data are suitable for the application and use of X, = 94.8R1, F = 100.00 and 2. = 107.30 (Table 1) of 10 ° gauge field. The large standard samples shown are red, yellow, green, gray and another red - used! ：211. Table B1 CMC (2:1) formula (D/1Ue) using test numbers and potential matching
69,556
Three states
57-467
CIELAB flute
Three-thorn value
27-065
GBT8424.3—20D1
End of table)
20, 1:57||tt| |Attached pump C
(Prompt attached request)
Calculate the color of the plastic computer program
CIFL.ARization
Time recording C gives the calculation of its F adds a simple ASC interpretation sequence, which requires more time to use the theorem on a common computer system. 1O GMCI:C) COLOUR DIFFERFNCF FORMUL.Ac Inputdstsandprintregult
5G INPLIT *Inpm CMCt:*) weightig Eactars \[\,\s\\.t.,G0 1NPUT \Inpur XYZo refcrence\, X(1) ,X(2).X(3)65IPRINT -X,Y.2 al releeace\,X(1).X(2),X(3):GtSCB 160:E.1=1.:A=CA:B1=CM7c INPUI \input XY2 of apecimen\, X(1?,X(2],Xt$)75LPRINTX,Y.ZaEapcemcn\:X(1). 230
) I,PRINT [,'ut'l,*,Hue augl f reference\,l.1,A1,1,H]ILPRINT\.-...Hue angle of sperimen\,t. 2,A2.B2.H211O 1.PRINT\NI./IS tX/S.DH/Sh DEcne(\-L\,\C\)\12O1.PRINT DI.D,DHDE.I.PRINT:GOTU6O130
140 Calculate L*a.bvalues (D65/l0\)1######
150X(17=X(1/94.812:X(2)=X2)door00.X(3)=X(3)/107.30417UF (RI=1TO3: IFX(135.855001E13THENFX(1)7.787*X(1)+16/116EESEFX()=X(11\(1/3)
180NEXT
190 CI, =t16 * FX(2) -1G:CA =500 *(FX(1)FX(21).CB-200(FX(2)
FX<3):RE
GB/T B424.3—2001
21o Calculate CMC color differerce220#######
230 IL=L2-L1:CI=SQR(RI#BI+AI+A1):C2=SQR(BB2+A2*A2),DC=C2-C124SI- [.*DL.+(42-A1) *(A2-A1)+(R2-Rt) *(R2-RI)250 DII=0:AA=S1 -DL DL -DC+DC:IH AA=0 THEN 26G ELSE DII=SQR(AA)260 IF(A2 kB2) =0 THEN 280 ELSE H2=180 -SGN(B2) * S0A1N3—2001) Detailed information required to describe the characteristics of the sample and standard: c) Identify the spectrophotometer or colorimeter, including (IE several examples of conditions type! 1) ≥Em value of the sample;
) and the value of CMC (2:
! The illuminant and the observer used in the calculation, \1C\];) The tolerance for judging whether it is qualified or not (see Appendix A) 1h) When necessary, give the sub-item color of CMC; when necessary, give the C value of the standard and sample. IELABL,,, and values ​​and related,,\,,% and AH product values:
) reported on the day,
GB/T8474.32GB1
Appendix A
(also mentioned in the gradual record)
Korean version
is the "special sphere requirements". When determining the acceptability of color matching, the user determines a "tolerance" approved by the relevant department. When compared with the approved tolerance, if the sample or sample matches the standard sample, the value obtained can be used as a means of decision. The samples compared with the standard sample will be divided into two categories. Those with E values ​​less than or equal to the special tolerance are qualified samples, while those with αE values ​​greater than or equal to the tolerance are unqualified samples. Formula 5 1. represents the ellipsoid centered on the standard sample (and has coordinates in the directions of lightness, chroma and hue). The length of the spherical semi-coordinate is defined by: 5, 5, and when the difference is agreed upon, a range of acceptable volumes is formed. All samples falling within this range can be considered to match the standard sample shape or acceptability. In some applications, the acceptable sample bands must be divided into groups, and any group is divided into groups of colors to describe the relationship between the samples and the applicable situation. For example, in such an application (for rectangular classification), a range of acceptable small volumes must be determined. The size of each small volume is determined by the center MC volume and the three half-standard coefficients, and the total acceptable volume can be divided equally by the number of such small volumes. Figure A1 shows the "555\ classification situation. The point color E is valid for non-color samples. At %.4., in addition to the lightness difference, Other classifications of color differences are not valid. When 4, the intensity and hue differences are often inconsistent with the visual evaluation: In order to achieve the standard of classification, the method of using individual classification to determine the small area of ​​each classification system is still valid: STD
Figure A1 "565 classification (flat section) B
(suggested sweetness)
Verification data used when checking the computer program In order to verify the computer program of the AE value obtained by the M core formula, some representative test data are given in Table B1. The data are suitable for wide, clear and 10° standard fields using X, = 94.8R1, F = 100.00 and 2. = 107.30 (Table 1). The large reference samples shown are red, yellow, green, gray and another red-used! : 211. Table B1CMC (2:1) formula (D/1Ue) with test data potential matching
69,556
three state positions
57-467
CIELAB
three thorn values
27-065
GBT8424.3—20D1
table end)
20, 1:57
Attachment C
(hint attachment)
Calculate its color plasticity using computer program
CIFL.AR化
Time recording C gives a simple ASC explanation of the calculation F, and the theorem is used on a common computer system when the time required is increased. 1O GMCI:C) COLOUR DIFFERFNCF FORMUL.Ac Inputdstsandprintregult
5G INPLIT *Inpm CMCt:*) weightig Eactars \[\,\s\\.t.,G0 1NPUT \Inpur XYZo refcrence\, X(1),X(2).X(3)65IPRINT -X,Y.2 al releeace\,X(1).X(2),X(3):GtSCB 160:E.1=1.:A=CA:B1=CM7c INPUI \input XY2 of apecimen\, X(1?,X(2],Xt$)75LPRINTX,Y.ZaEapcemcn\:X(1). 230
) I,PRINT [,'ut'l,*,Hue augl f reference\,l.1,A1,1,H]ILPRINT\.-...Hue angle of sperimen\,t.2,A2.B2.H211O 1.PRINT\NI./IS tX/S.DH/Sh DEcne(\-L\,\C\)\12O1.PRINT DI.D,DHDE.I.PRINT:GOTU6O130
140 Calculate L*a.bvalues (D65/l0\)1######
150X(17=X(1/94.812:X(2)=X2)door 00.X(3)=X(3)/107.30417UF(RI=1TO3: IFX(135.855001E13THENFX(1)7.787*X(1)+16/116EESEFX()=X(11\(1/3)
180NEXT
190 CI, =t16 * FX(2) -1G:CA =500 *(FX(1)FX(21).CB-200(FX(2)
FX<3):RE
GB/T B424.3—2001
21o Calculate CMC color differerce220#######
230 IL=L2-L1:CI=SQR(RI#BI+AI+A1):C2=SQR(BB2+A2*A2),DC=C2-C124SI- [.*DL.+(42-A1) *(A2-A1)+(R2-Rt) *(R2-RI)250 DII=0:AA=S1 -DL DL -DC+DC:IH AA=0 THEN 26G ELSE DII=SQR(AA)260 IF(A2 kB2) =0 THEN 280 ELSE H2=180 -SGN(B2) * S0A1N3—2001) Detailed information required to describe the characteristics of the sample and standard: c) Identify the spectrophotometer or colorimeter, including (IE several examples of conditions type! 1) ≥Em value of the sample;
) and the value of CMC (2:
! The illuminant and the observer used in the calculation, \1C\];) The tolerance for judging whether it is qualified or not (see Appendix A) 1h) When necessary, give the sub-item color of CMC; when necessary, give the C value of the standard and sample. IELABL,,, and values ​​and related,,\,,% and AH product values:
) reported on the day,
GB/T8474.32GB1
Appendix A
(also mentioned in the gradual record)
Korean version
is the "special sphere requirements". When determining the acceptability of color matching, the user determines a "tolerance" approved by the relevant department. When compared with the approved tolerance, if the sample or sample matches the standard sample, the value obtained can be used as a means of decision. The samples compared with the standard sample will be divided into two categories. Those with E values ​​less than or equal to the special tolerance are qualified samples, while those with αE values ​​greater than or equal to the tolerance are unqualified samples. Formula 5 1. represents the ellipsoid centered on the standard sample (and has coordinates in the directions of lightness, chroma and hue). The length of the spherical semi-coordinate is defined by: 5, 5, and when the difference is agreed upon, a range of acceptable volumes is formed. All samples falling within this range can be considered to match the standard sample shape or acceptability. In some applications, the acceptable sample bands must be divided into groups, and any group is divided into groups of colors to describe the relationship between the samples and the applicable situation. For example, in such an application (for rectangular classification), a range of acceptable small volumes must be determined. The size of each small volume is determined by the center MC volume and the three half-standard coefficients, and the total acceptable volume can be divided equally by the number of such small volumes. Figure A1 shows the "555\ classification situation. The point color E is valid for non-color samples. At %.4., in addition to the lightness difference, Other classifications of color differences are not valid. When 4, the intensity and hue differences are often inconsistent with the visual evaluation: In order to achieve the standard of classification, the method of using individual classification to determine the small area of ​​each classification system is still valid: STD
Figure A1 "565 classification (flat section) B
(suggested sweetness)
Verification data used when checking the computer program In order to verify the computer program of the AE value obtained by the M core formula, some representative test data are given in Table B1. The data are suitable for wide, clear and 10° standard fields using X, = 94.8R1, F = 100.00 and 2. = 107.30 (Table 1). The large reference samples shown are red, yellow, green, gray and another red-used! : 211. Table B1CMC (2:1) formula (D/1Ue) with test data potential matching
69,556
three state positions
57-467
CIELAB
three thorn values
27-065
GBT8424.3—20D1
table end)
20, 1:57
Attachment C
(hint attachment)
Calculate its color plasticity using computer program
CIFL.AR化
Time recording C gives a simple ASC explanation of the calculation F, and the theorem is used on a common computer system when the time required is increased. 1O GMCI:C) COLOUR DIFFERFNCF FORMUL.Ac Inputdstsandprintregult
5G INPLIT *Inpm CMCt:*) weightig Eactars \[\,\s\\.t.,G0 1NPUT \Inpur XYZo refcrence\, X(1),X(2).X(3)65IPRINT -X,Y.2 al releeace\,X(1).X(2),X(3):GtSCB 160:E.1=1.:A=CA:B1=CM7c INPUI \input XY2 of apecimen\, X(1?,X(2],Xt$)75LPRINTX,Y.ZaEapcemcn\:X(1). 230
) I,PRINT [,'ut'l,*,Hue augl f reference\,l.1,A1,1,H]ILPRINT\.-...Hue angle of sperimen\,t.2,A2.B2.H211O 1.PRINT\NI./IS tX/S.DH/Sh DEcne(\-L\,\C\)\12O1.PRINT DI.D,DHDE.I.PRINT:GOTU6O130
140 Calculate L*a.bvalues (D65/l0\)1######
150X(17=X(1/94.812:X(2)=X2)door 00.X(3)=X(3)/107.30417UF(RI=1TO3: IFX(135.855001E13THENFX(1)7.787*X(1)+16/116EESEFX()=X(11\(1/3)
180NEXT
190 CI, =t16 * FX(2) -1G:CA =500 *(FX(1)FX(21).CB-200(FX(2)
FX<3):RE
GB/T B424.3—2001
21o Calculate CMC color differerce220#######
230 IL=L2-L1:CI=SQR(RI#BI+AI+A1):C2=SQR(BB2+A2*A2),DC=C2-C124SI- [.*DL.+(42-A1) *(A2-A1)+(R2-Rt) *(R2-RI)250 DII=0:AA=S1 -DL DL -DC+DC:IH AA=0 THEN 26G ELSE DII=SQR(AA)260 IF(A2 kB2) =0 THEN 280 ELSE H2=180 -SGN(B2) * S0A1N4, except for the lightness difference, other color differences are not valid. When 4, the brightness and hue differences are often inconsistent with the visual evaluation: In order to achieve the standard of classification, the method of using separate classification to determine the small difference between each classification system is still valid: STD
Figure A1 "565 classification (flat section) B
(suggested sweetness)
Verification data used when checking the computer program In order to verify the computer program of the AE value obtained by the M core formula, some representative test data are given in Table B1. The data are suitable for the wide range, service body and use X, = 94.8R1, F = 100.00 and 2. = 107.30 (Table 1) 10 ° gauge field. The large color of the standard sample shown is red, yellow, green, gray and another red-used! : 211. Table B1 CMC (2: 1) formula (D/1Ue) with test number potential Xiang match
69,556
Three states
57-467
CIELAB flute
Three thorn value
27-065
GBT8424.3-20D1
Table end)
20, 1:57
Appendix C
(Prompt Attachment)
Calculate the color using a computer program
CIFL.ARization
Time Recording C gives a simple ASC explanation of the calculation method, which requires more time to use on a common computer system. 1O GMCI:C) COLOUR DIFFERFNCF FORMUL.Ac Inputdstsandprintregult
5G INPLIT *Inpm CMCt:*) weightig Eactars \[\,\s\\.t.,G0 1NPUT \Inpur XYZo refcrence\, X(1),X(2).X(3)65IPRINT -X,Y.2 al releeace\,X(1).X(2),X(3):GtSCB 160:E.1=1.:A=CA:B1=CM7c INPUI \input XY2 of apecimen\, X(1?,X(2],Xt$)75LPRINTX,Y.ZaEapcemcn\:X(1). reference\,l.1,A1,1,H]ILPRINT\.-...Hue angle of sperimen\,t.2,A2.B2.H211O 1.PRINT\NI./IS tX/S.DH/Sh DEcne(\-L\,\C\)\12O1.PRINT DI.D,DHDE.I.PRINT:GOTU6O130
140 Calculate L*a.bvalues (D65/l0\)1######
150X(17=X(1/94.812:X(2)=X2)door 00.X(3)=X(3)/107.30417UF(RI=1TO3: IFX(135.855001E13THENFX(1)7.787*X(1)+16/116EESEFX()=X(11\(1/3)
180NEXT
190 CI, =t16 * FX(2) -1G:CA =500 *(FX(1)FX(21).CB-200(FX(2)
FX<3):RE
GB/T B424.3—2001
21o Calculate CMC color differerce220#######
230 IL=L2-L1:CI=SQR(RI#BI+AI+A1):C2=SQR(BB2+A2*A2),DC=C2-C124SI- [.*DL.+(42-A1) *(A2-A1)+(R2-Rt) *(R2-RI)250 DII=0:AA=S1 -DL DL -DC+DC:IH AA=0 THEN 26G ELSE DII=SQR(AA)260 IF(A2 kB2) =0 THEN 280 ELSE H2=180 -SGN(B2) * S0A1N4, except for the lightness difference, other color differences are not valid. When 4, the brightness and hue differences are often inconsistent with the visual evaluation: In order to achieve the standard of classification, the method of using separate classification to determine the small difference between each classification system is still valid: STD
Figure A1 "565 classification (flat section) B
(suggested sweetness)
Verification data used when checking the computer program In order to verify the computer program of the AE value obtained by the M core formula, some representative test data are given in Table B1. The data are suitable for the wide range, service body and use X, = 94.8R1, F = 100.00 and 2. = 107.30 (Table 1) 10 ° gauge field. The large color of the standard sample shown is red, yellow, green, gray and another red-used! : 211. Table B1 CMC (2: 1) formula (D/1Ue) with test number potential Xiang match
69,556
Three states
57-467
CIELAB flute
Three thorn value
27-065
GBT8424.3-20D1
Table end)
20, 1:57
Appendix C
(Prompt Attachment)
Calculate the color using a computer program
CIFL.ARization
Time Recording C gives a simple ASC explanation of the calculation method, which requires more time to use on a common computer system. 1O GMCI:C) COLOUR DIFFERFNCF FORMUL.Ac Inputdstsandprintregult
5G INPLIT *Inpm CMCt:*) weightig Eactars \[\,\s\\.t.,G0 1NPUT \Inpur XYZo refcrence\, X(1),X(2).X(3)65IPRINT -X,Y.2 al releeace\,X(1).X(2),X(3):GtSCB 160:E.1=1.:A=CA:B1=CM7c INPUI \input XY2 of apecimen\, X(1?,X(2],Xt$)75LPRINTX,Y.ZaEapcemcn\:X(1). reference\,l.1,A1,1,H]ILPRINT\.-...Hue angle of sperimen\,t.2,A2.B2.H211O 1.PRINT\NI./IS tX/S.DH/Sh DEcne(\-L\,\C\)\12O1.PRINT DI.D,DHDE.I.PRINT:GOTU6O130
140 Calculate L*a.bvalues (D65/l0\)1######
150X(17=X(1/94.812:X(2)=X2)door 00.X(3)=X(3)/107.30417UF(RI=1TO3: IFX(135.855001E13THENFX(1)7.787*X(1)+16/116EESEFX()=X(11\(1/3)
180NEXT
190 CI, =t16 * FX(2) -1G:CA =500 *(FX(1)FX(21).CB-200(FX(2)
FX<3):RE
GB/T B424.3—2001
21o Calculate CMC color differerce220#######
230 IL=L2-L1:CI=SQR(RI#BI+AI+A1):C2=SQR(BB2+A2*A2),DC=C2-C124SI- [.*DL.+(42-A1) *(A2-A1)+(R2-Rt) *(R2-RI)250 DII=0:AA=S1 -DL DL -DC+DC:IH AA=0 THEN 26G ELSE DII=SQR(AA)260 IF(A2 kB2) =0 THEN 280 ELSE H2=180 -SGN(B2) * S0A1N3—2001
21o Calculate CMC color differerce220#######
230 IL=L2-L1:CI=SQR(RI#BI+AI+A1):C2=SQR(BB2 +A2*A2),DC=C2-C124SI- [.*DL.+(42-A1) *(A2-A1)+(R2-Rt) *(R2-RI)250 DII=0:AA=S1 -DL DL -DC+DC:IH AA=0 THEN 26G ELSE DII=SQR(AA)260 IF( A2 kB2) =0 THEN 280 ELSE H2=180 -SGN(B2) * S0A1N3—2001
21o Calculate CMC color differerce220#######
230 IL=L2-L1:CI=SQR(RI#BI+AI+A1):C2=SQR(BB2 +A2*A2),DC=C2-C124SI- [.*DL.+(42-A1) *(A2-A1)+(R2-Rt) *(R2-RI)250 DII=0:AA=S1 -DL DL -DC+DC:IH AA=0 THEN 26G ELSE DII=SQR(AA)260 IF( A2 kB2) =0 THEN 280 ELSE H2=180 -SGN(B2) * S0A1NLC=DC/(C+SC)DH=LH/SH385 DA- H2-H1:IF ARS(DA)-18n THFN Y1 -1F1.SE YI 1386 Y2=Y1 DA:1F Y2=0 THEN DH= -DH390 DE -SQR(DL 1 DL+IC * LC IDR *IH).40)RETURN
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