Computational analysis of the photograph of the artwork G Minor - Research on Harmony - Variation 10 (AQC0864) [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 20 flat areas. The largest are strong orange (30%), moderate reddish orange (23%) and vivid reddish orange (22%). Among the others, those that stand out most sharply from their surroundings are grayish olive at the top right (0.3%), pale orange yellow at the top (1.3%) and dark brown at the top (1.6%). By colour name family: orange 90%, brown 4.5%, orange yellow 2.4% and red 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: 2245x2993 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 (1).
| Rank |
Colour |
ISCC-NBS name |
Munsell |
Area |
Contrast |
Position |
| 1 |
4E4136 |
grayish olive |
4.0Y 2.9/1.7 |
0.3% |
45.2 |
at the top right |
| 2 |
F1C98F |
pale orange yellow |
0.4Y 8.4/5.6 |
1.3% |
38.8 |
at the top |
| 3 |
503320 |
dark brown |
5.0YR 2.5/3.4 |
1.6% |
38.2 |
at the top |
| 4 |
4A2D1A |
dark brown |
5.0YR 2.1/3.6 |
0.5% |
35.6 |
at the bottom left |
| 5 |
6A5140 |
grayish brown |
6.6YR 3.7/2.4 |
0.2% |
34.0 |
on the right |
| 6 |
5A3B26 |
moderate brown |
6.9YR 2.8/3.8 |
1.2% |
28.4 |
in the centre |
| 7 |
EC9039 |
strong orange |
5.7YR 6.8/10.7 |
30% |
26.2 |
on the right |
| 8 |
E46408 |
vivid reddish orange |
1.6YR 5.7/14.0 |
22% |
18.8 |
at the top left |
| 9 |
B17053 |
grayish reddish orange |
2.7YR 5.4/6.3 |
0.1% |
16.9 |
on the right |
| 10 |
674D5F |
dark grayish purple |
1.5RP 3.5/2.7 |
1.0% |
16.5 |
on the right |
| 11 |
ED9441 |
strong orange |
5.3YR 6.8/10.3 |
13% |
16.2 |
at the bottom left |
| 12 |
8E5C56 |
moderate reddish brown |
8.4R 4.3/4.1 |
1.3% |
13.7 |
on the right |
| 13 |
EE9037 |
strong orange |
6.1YR 6.8/11.1 |
0.5% |
11.6 |
at the top |
| 14 |
995F50 |
grayish red |
7.4R 4.5/5.7 |
0.8% |
10.6 |
on the right |
| 15 |
BB7C58 |
grayish reddish orange |
2.7YR 5.7/6.2 |
0.1% |
9.2 |
on the right |
| 16 |
B6704C |
brownish orange |
4.0YR 5.4/6.6 |
1.9% |
7.7 |
on the right |
| 17 |
9F4833 |
dark reddish orange |
0.4YR 4.1/7.8 |
0.2% |
6.8 |
at the bottom |
| 18 |
BB6546 |
moderate reddish orange |
0.6YR 5.1/8.5 |
23% |
6.0 |
at the bottom |
| 19 |
A4482E |
dark reddish orange |
0.9YR 4.2/8.9 |
0.1% |
2.6 |
in the centre |
| 20 |
A4482B |
dark reddish orange |
0.9YR 4.2/8.9 |
0.3% |
2.2 |
on the left |
Colour name families
| Family |
Area |
| orange |
90% |
| brown |
4.5% |
| orange yellow |
2.4% |
| red |
1.3% |
| purple |
0.7% |
B) Texture Analysis
| Metric |
Value |
| Global Roughness |
0.111 |
| Mean Local Roughness |
0.01 |
| Roughness Uniformity |
0.011 |
| Edge Density |
0.033 |
| Mean Gradient Magnitude |
0.096 |
| Gradient Variance |
0.015 |
| Gradient Smoothness |
0.0 |
| Directional Coherence |
0.021 |
| Pattern Complexity |
0.112 |
| Pattern Repetition |
1.0 |
| Detail Frequency Ratio |
0.599 |
| Spatial Variation |
0.057 |
| Texture Consistency |
0.699 |
C) Brightness & Contrast Analysis
| Metric |
Value |
| Mean Brightness |
0.547 |
| Brightness Variance |
0.111 |
| Brightness Uniformity |
0.797 |
| Brightness Skewness |
-0.683 |
| Brightness Entropy |
6.646 |
| Rms Contrast |
0.111 |
| Michelson Contrast |
0.93 |
| Weber Contrast |
0.371 |
| Mean Local Contrast |
0.012 |
| Contrast Uniformity |
0.052 |
| Dynamic Range |
0.941 |
| Effective Dynamic Range |
0.325 |
| Shadow Percentage |
3.99 |
| Midtone Percentage |
85.325 |
| Highlight Percentage |
10.685 |
| Shadow Clipping |
0.0 |
| Highlight Clipping |
0.0 |
| Tonal Balance |
0.0 |
| Fine Contrast |
0.005 |
| Medium Contrast |
0.015 |
| Coarse Contrast |
0.025 |
| Multiscale Contrast Ratio |
0.211 |
| Edge Contrast |
0.096 |
| Contrast Clustering |
0.301 |
D) Spatial Distribution Analysis
| Metric |
Value |
| Spatial Coherence |
0.755 |
| Color Clustering |
0.373 |
| Color Transition Smoothness |
0.754 |
| Transition Uniformity |
0.898 |
| Sharp Transition Ratio |
0.1 |
| Transition Directionality |
0.029 |
| Mean Saturation |
0.74 |
| Saturation Variance |
0.026 |
| Low Saturation Ratio |
0.015 |
| Medium Saturation Ratio |
0.371 |
| High Saturation Ratio |
0.614 |
| Saturation Clustering |
1.0 |
| Hue Concentration |
0.988 |
| Complementary Balance |
0.0 |
| Analogous Dominance |
0.996 |
| Temperature Bias |
0.998 |
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.
