Research Article

Maximizing the Accuracy of Continuous Quantification Measures Using Discrete PackTest Products with Deep Learning and Pseudocolor Imaging

Table 1

Loadings on principal components (eigenvalue > 1) for the grayscale images to show the structure of the grayscale intensity data for the 331 pixels representing the Microsoft Office standard colors and gamut in the 83 grayscale images.

(Pseudo)color image as the source of grayscale imagesGrayscale imagePrincipal components (explaining percentage, eigenvalue)
1 (30%, 25)2 (28%, 23)3 (24%, 20)4 (5%, 4)5 (3%, 3)6 (2%, 2)7 (2%, 2)

RGB true color imageR0.3960.856−0.1580.179−0.080−0.0390.161
G0.863−0.4460.1150.0720.053−0.131−0.028
B−0.0550.0510.9490.115−0.204−0.051−0.120
C0.4830.761−0.2790.276−0.016−0.003−0.061
M0.761−0.6080.0840.090−0.005−0.108−0.006
Y−0.3120.1620.8570.124−0.264−0.080−0.047
K0.5280.3010.539−0.3410.2070.3420.035
0.968−0.0300.1650.1240.0150.077−0.067
−0.5100.8310.0890.087−0.0080.1320.081
0.600−0.023−0.779−0.0160.1570.044−0.011
RGB cyan0.504−0.2560.774−0.029−0.0890.0370.222
RGB magenta0.2330.7060.5980.1270.221−0.043−0.088
RGB yellow0.8760.395−0.071−0.063−0.1440.093−0.168

RGyBC0.6750.619−0.1230.313−0.044−0.0070.133
M0.783−0.5570.1220.1470.0830.007−0.076
Y0.5740.668−0.105−0.266−0.217−0.218−0.013
K0.6560.3560.017−0.485−0.187−0.060−0.241
0.9830.0210.0210.079−0.0410.041−0.118
−0.3010.913−0.195−0.002−0.1270.1010.064
0.210−0.8040.1850.3880.242−0.0880.137
RG-yBC0.4500.834−0.1650.160−0.1160.0530.065
M0.770−0.5690.1420.0280.065−0.157−0.034
Y−0.845−0.2740.0720.1390.151−0.0560.181
K0.252−0.110−0.0920.5850.1380.563−0.081
0.956−0.1120.0300.2350.0150.046−0.059
−0.6050.718−0.1810.186−0.0320.1190.165
0.9260.284−0.047−0.048−0.1200.077−0.165

RmGBC0.3670.811−0.2310.266−0.151−0.0100.193
M0.3610.811−0.2950.223−0.087−0.0400.196
Y0.210−0.8040.1850.3880.242−0.0880.137
K0.2350.6160.553−0.1200.359−0.147−0.103
0.3920.883−0.0250.197−0.007−0.0340.121
−0.288−0.4880.6960.0280.2340.125−0.278
0.3030.542−0.7470.0350.041−0.0200.212

R-mGBC0.3230.773−0.2500.2900.2120.1500.085
M−0.358−0.8620.179−0.1870.0280.034−0.168
Y0.0020.2920.8460.135−0.320−0.106−0.032
K−0.101−0.0550.3580.422−0.1450.488−0.176
−0.322−0.7310.2440.1960.0810.348−0.214
0.3730.877−0.0140.235−0.072−0.0230.136
−0.046−0.295−0.842−0.0690.3440.1950.014

cRGBC0.638−0.3550.6290.022−0.077−0.1120.056
M0.837−0.464−0.0520.1810.095−0.059−0.038
Y−0.3150.1970.8410.112−0.226−0.035−0.187
K0.424−0.1500.685−0.272−0.0910.0340.377
0.763−0.3860.4870.043−0.017−0.0190.132
−0.6190.3310.640−0.108−0.1690.1350.147
0.656−0.359−0.601−0.0730.188−0.0220.153

-cRGBC−0.1450.066−0.7210.3490.125−0.060−0.466
M0.847−0.4440.1450.0070.052−0.1260.047
Y−0.2970.1960.8750.014−0.223−0.014−0.066
K0.200−0.1820.4400.331−0.0700.309−0.004
0.809−0.432−0.0390.2810.083−0.082−0.184
−0.8550.436−0.0700.083−0.0610.140−0.104
0.423−0.242−0.8370.0540.207−0.048−0.068

RmGyBC0.4050.8550.0060.3090.0210.0050.052
M0.0950.6300.6480.0580.236−0.184−0.109
Y0.8260.241−0.394−0.018−0.2350.092−0.109
K0.4720.3570.420−0.5610.2610.180−0.008
0.3490.7610.4900.1070.1930.012−0.053
0.4620.049−0.7670.020−0.3050.2130.152
−0.5990.3940.5460.2170.315−0.1430.096

cRGyBC0.449−0.4270.7350.0370.005−0.0250.217
M0.888−0.404−0.0030.1940.003−0.029−0.056
Y0.6760.452−0.126−0.306−0.303−0.196−0.206
K0.5140.3430.397−0.5690.2010.174−0.023
0.856−0.3150.3940.0380.0180.0180.059
−0.5990.6260.352−0.172−0.0700.2450.051
−0.023−0.7830.5050.1390.161−0.0880.261

cRmGBC0.485−0.3150.7540.063−0.1340.1420.143
M0.0520.8050.4330.1400.233−0.245−0.078
Y−0.101−0.1030.9180.219−0.196−0.025−0.151
K0.4540.3910.491−0.4720.2980.143−0.008
0.3770.5340.7230.0500.1680.069−0.044
0.203−0.8550.257−0.099−0.2850.1270.191
0.4050.307−0.722−0.1600.3340.1160.167
cRmGyBC0.534−0.0940.8020.101−0.0290.0450.108
M0.0650.7830.5050.1450.241−0.144−0.082
Y0.8890.133−0.254−0.057−0.2670.035−0.124
K0.4680.3350.407−0.5760.2530.200−0.002
0.4340.5480.6760.0340.1700.088−0.041
0.400−0.817−0.039−0.160−0.2640.1650.177
−0.5930.0730.7180.1350.279−0.0710.121