Computational analysis of the photograph of the artwork E minor - Research on Harmony (AQC0592) [1] by Arnaud Quercy [2], according to IDS-CMP-2025 [3], on an image 1000 pixels on its longer side, on 2025-10-03. Each colour is located in the Munsell system and named according to the ISCC-NBS system (267 names, National Bureau of Standards, 1976). The image divides into 33 flat areas. The largest are moderate reddish orange (58%), light yellow green (8.8%) and grayish blue (5.3%). Among the others, those that stand out most sharply from their surroundings are black on the left (2.8%), vivid red at the top (1.2%) and dark grayish blue at the bottom (0.5%). By colour name family: orange 45%, pink 14%, green 9.7%, yellow green 8.2%, blue 6.2%, yellow 4.5%, olive 2.4%, black 2.3%, gray 2.2% and brown 1.3%.
Context
Analysis performed according to IDS-CMP-2025 [3]: (a) colours named by Munsell and ISCC-NBS, areas and flat areas, (b) texture, (c) brightness and contrast, (d) spatial distribution. Source image: 2561x3415 pixels. Analysis date: 2025-10-03.
A) Color Analysis
Flat areas
Ranked by contrast with their surroundings (CIEDE2000). Strokes thinner than 10 pixels are excluded (2).
| Rank |
Colour |
ISCC-NBS name |
Munsell |
Area |
Contrast |
Position |
| 1 |
100E0C |
black |
0.6YR 0.4/0.4 |
2.8% |
72.8 |
on the left |
| 2 |
BE2D15 |
vivid red |
8.7R 4.1/13.9 |
1.2% |
53.0 |
at the top |
| 3 |
32333E |
dark grayish blue |
8.1PB 2.2/1.0 |
0.5% |
39.9 |
at the bottom |
| 4 |
ECCD28 |
brilliant yellow |
5.1Y 8.2/10.6 |
2.2% |
36.1 |
in the centre |
| 5 |
D6D9DA |
bluish white |
0.2B 8.7/0.6 |
0.5% |
34.1 |
in the centre |
| 6 |
7C7D8D |
grayish blue |
8.9PB 5.2/2.3 |
0.9% |
33.4 |
in the centre |
| 7 |
212224 |
black |
N 1.4/ |
0.3% |
32.3 |
in the centre |
| 8 |
606376 |
grayish blue |
8.6PB 4.2/2.1 |
5.3% |
29.6 |
on the right |
| 9 |
458634 |
strong yellowish green |
8.9GY 4.8/8.0 |
1.4% |
28.2 |
on the left |
| 10 |
35864D |
strong yellowish green |
1.3G 4.8/7.2 |
1.6% |
27.7 |
in the centre |
| 11 |
3F7F2D |
strong yellowish green |
8.8GY 4.5/8.0 |
4.4% |
27.6 |
in the centre |
| 12 |
BDD8A4 |
light yellow green |
7.8GY 8.4/4.3 |
8.8% |
27.2 |
in the centre |
| 13 |
F2D22A |
brilliant yellow |
5.2Y 8.5/10.9 |
1.7% |
24.5 |
at the top |
| 14 |
F2E7E6 |
pale pink |
2.1R 9.2/2.1 |
0.6% |
24.3 |
on the left |
| 15 |
626244 |
grayish olive |
0.6GY 4.1/2.6 |
1.9% |
23.1 |
on the right |
| 16 |
8F8A87 |
light olive gray |
0.7GY 5.7/0.6 |
0.3% |
21.1 |
at the bottom |
| 17 |
B9AF8C |
grayish yellow |
2.5Y 7.0/2.6 |
0.6% |
20.7 |
at the top |
| 18 |
93C07B |
light yellowish green |
8.5GY 7.3/6.4 |
0.3% |
20.4 |
in the centre |
| 19 |
619B2A |
strong yellow green |
7.2GY 5.7/9.2 |
0.4% |
20.3 |
at the top |
| 20 |
5A9527 |
strong yellow green |
7.2GY 5.4/9.2 |
0.2% |
20.3 |
at the bottom |
| 21 |
748352 |
moderate yellow green |
5.4GY 5.2/4.1 |
0.1% |
19.7 |
at the bottom left |
| 22 |
C53B16 |
vivid reddish orange |
9.5R 4.5/13.4 |
1.1% |
19.5 |
on the left |
| 23 |
DA825E |
moderate reddish orange |
1.6YR 6.3/8.6 |
58% |
19.4 |
in the centre |
| 24 |
9F9D9E |
medium gray |
N 6.3/ |
1.7% |
17.5 |
at the top |
| 25 |
8A9D6C |
moderate yellow green |
5.5GY 6.1/3.8 |
0.3% |
17.1 |
at the bottom |
| 26 |
E1A78E |
moderate yellowish pink |
0.7YR 7.2/5.7 |
0.3% |
15.1 |
at the top |
| 27 |
813810 |
strong brown |
3.0YR 3.4/8.0 |
0.6% |
14.0 |
on the left |
| 28 |
868468 |
light grayish olive |
0.7GY 5.3/1.8 |
1.0% |
11.4 |
at the bottom |
| 29 |
C8A26C |
light yellowish brown |
9.8YR 6.9/5.4 |
0.1% |
9.6 |
at the bottom left |
| 30 |
BB9572 |
light brown |
6.4YR 6.3/4.2 |
0.1% |
6.4 |
at the bottom |
| 31 |
CBA97E |
light yellowish brown |
0.5Y 7.1/4.4 |
0.1% |
5.8 |
at the bottom left |
| 32 |
B4AB83 |
grayish yellow |
6.8Y 6.9/2.9 |
0.1% |
4.9 |
at the bottom |
| 33 |
9091A1 |
pale purple |
9.1PB 6.1/2.4 |
0.1% |
1.4 |
on the right |
Colour name families
| Family |
Area |
| orange |
45% |
| pink |
14% |
| green |
9.7% |
| yellow green |
8.2% |
| blue |
6.2% |
| yellow |
4.5% |
| olive |
2.4% |
| black |
2.3% |
| gray |
2.2% |
| brown |
1.3% |
| red |
1.0% |
| olive black |
0.7% |
| white |
0.6% |
B) Texture Analysis
| Metric |
Value |
| Global Roughness |
0.166 |
| Mean Local Roughness |
0.018 |
| Roughness Uniformity |
0.03 |
| Edge Density |
0.06 |
| Mean Gradient Magnitude |
0.141 |
| Gradient Variance |
0.077 |
| Gradient Smoothness |
0.0 |
| Directional Coherence |
0.096 |
| Pattern Complexity |
0.117 |
| Pattern Repetition |
1.0 |
| Detail Frequency Ratio |
0.65 |
| Spatial Variation |
0.064 |
| Texture Consistency |
0.504 |
C) Brightness & Contrast Analysis
| Metric |
Value |
| Mean Brightness |
0.569 |
| Brightness Variance |
0.166 |
| Brightness Uniformity |
0.709 |
| Brightness Skewness |
-0.876 |
| Brightness Entropy |
7.062 |
| Rms Contrast |
0.166 |
| Michelson Contrast |
1.0 |
| Weber Contrast |
0.533 |
| Mean Local Contrast |
0.02 |
| Contrast Uniformity |
0.0 |
| Dynamic Range |
1.0 |
| Effective Dynamic Range |
0.506 |
| Shadow Percentage |
5.98 |
| Midtone Percentage |
72.341 |
| Highlight Percentage |
21.679 |
| Shadow Clipping |
0.019 |
| Highlight Clipping |
0.017 |
| Tonal Balance |
0.0 |
| Fine Contrast |
0.01 |
| Medium Contrast |
0.025 |
| Coarse Contrast |
None |
| Multiscale Contrast Ratio |
1.0 |
| Edge Contrast |
0.141 |
| Contrast Clustering |
0.496 |
D) Spatial Distribution Analysis
| Metric |
Value |
| Spatial Coherence |
0.737 |
| Color Clustering |
0.342 |
| Color Transition Smoothness |
0.64 |
| Transition Uniformity |
0.505 |
| Sharp Transition Ratio |
0.1 |
| Transition Directionality |
0.099 |
| Mean Saturation |
0.491 |
| Saturation Variance |
0.042 |
| Low Saturation Ratio |
0.238 |
| Medium Saturation Ratio |
0.678 |
| High Saturation Ratio |
0.084 |
| Saturation Clustering |
0.999 |
| Hue Concentration |
0.797 |
| Complementary Balance |
0.023 |
| Analogous Dominance |
0.787 |
| Temperature Bias |
0.73 |
Methodology
Computational analysis of a photograph of the artwork, reduced to 1,000 pixels on its longer side and filtered by a 3×3 median to remove grain. Colours: each pixel (sRGB rounded to 5 bits per channel) receives its Munsell notation and ISCC-NBS name from a table computed once from published data (Munsell renotation; ISCC-NBS blocks, NBS Special Publication 440, 1976), never from the artworks. Flat areas: connected regions of one name, merged with their neighbours while the CIEDE2000 difference between their mean colours stays below 10; an area is kept from 0.05% of the image; contrast with the surroundings measured 4 to 12 pixels from the edge. Texture: intensity standard deviation, local standard deviation, edge density (Canny), local binary patterns. Brightness: mean, variance, RMS, Michelson and local contrast, shadow / midtone / highlight distribution. Distribution: spatial coherence, transitions, saturation. Methods are deterministic and reproducible. Limits: the measurement concerns the photograph, including its lighting and white balance; two neighbouring areas less than 10 apart are merged.
