Computational analysis of the photograph of the artwork Bb Major - Research on Harmony - Variation 2 (AQC0694) [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 19 flat areas. The largest are vivid reddish orange (25%), strong orange yellow (22%) and very dark purplish red (18%). Among the others, those that stand out most sharply from their surroundings are light yellowish pink at the bottom (1.2%), very dark purplish red on the left (0.4%) and strong orange in the centre (0.2%). By colour name family: orange 39%, red 24%, orange yellow 15%, violet 8.3%, blue 8.0%, pink 3.6% and brown 1.0%.
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: 2693x3535 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 (0).
| Rank |
Colour |
ISCC-NBS name |
Munsell |
Area |
Contrast |
Position |
| 1 |
EFCDB7 |
light yellowish pink |
5.5YR 8.4/3.0 |
1.2% |
61.3 |
at the bottom |
| 2 |
2A1323 |
very dark purplish red |
5.5RP 1.0/2.6 |
0.4% |
53.6 |
on the left |
| 3 |
C8771F |
strong orange |
5.2YR 5.6/10.9 |
0.2% |
44.0 |
in the centre |
| 4 |
F1B47A |
light orange |
6.0YR 7.7/6.9 |
3.0% |
40.8 |
in the centre |
| 5 |
882B27 |
dark red |
8.4R 3.2/9.0 |
4.8% |
32.5 |
in the centre |
| 6 |
E86D20 |
vivid reddish orange |
1.3YR 5.9/13.6 |
25% |
31.5 |
at the bottom |
| 7 |
BF4F5B |
moderate red |
2.3R 4.7/10.2 |
1.3% |
28.4 |
at the top |
| 8 |
411B29 |
very dark purplish red |
0.7R 1.6/4.0 |
18% |
27.7 |
at the top right |
| 9 |
FBAA4C |
strong orange yellow |
7.3YR 7.6/10.2 |
22% |
26.3 |
at the top left |
| 10 |
EFB97E |
moderate orange yellow |
9.2YR 7.9/6.3 |
0.2% |
24.8 |
at the top |
| 11 |
100F24 |
dark violet |
0.1P 0.5/2.3 |
17% |
19.0 |
on the right |
| 12 |
BE5144 |
moderate reddish orange |
8.0R 4.8/9.6 |
3.6% |
17.6 |
at the top |
| 13 |
C2702C |
moderate orange |
5.3YR 5.5/9.5 |
0.2% |
15.3 |
at the top |
| 14 |
E98B84 |
strong yellowish pink |
5.7R 6.7/8.6 |
1.9% |
14.8 |
at the top |
| 15 |
BD4947 |
moderate red |
6.8R 4.6/10.3 |
0.4% |
14.3 |
in the centre |
| 16 |
DD6335 |
strong reddish orange |
0.4YR 5.6/11.9 |
0.4% |
14.0 |
at the top |
| 17 |
552C27 |
dark reddish brown |
1.3YR 2.3/3.9 |
0.2% |
10.3 |
at the bottom |
| 18 |
872C38 |
dark red |
2.6R 3.2/7.9 |
0.1% |
8.3 |
at the top |
| 19 |
702628 |
dark red |
5.8R 2.7/7.4 |
0.1% |
6.9 |
in the centre |
Colour name families
| Family |
Area |
| orange |
39% |
| red |
24% |
| orange yellow |
15% |
| violet |
8.3% |
| blue |
8.0% |
| pink |
3.6% |
| brown |
1.0% |
| purple |
0.7% |
B) Texture Analysis
| Metric |
Value |
| Global Roughness |
0.254 |
| Mean Local Roughness |
0.009 |
| Roughness Uniformity |
0.013 |
| Edge Density |
0.016 |
| Mean Gradient Magnitude |
0.067 |
| Gradient Variance |
0.018 |
| Gradient Smoothness |
0.0 |
| Directional Coherence |
0.265 |
| Pattern Complexity |
0.115 |
| Pattern Repetition |
1.0 |
| Detail Frequency Ratio |
0.626 |
| Spatial Variation |
0.213 |
| Texture Consistency |
0.271 |
C) Brightness & Contrast Analysis
| Metric |
Value |
| Mean Brightness |
0.421 |
| Brightness Variance |
0.254 |
| Brightness Uniformity |
0.396 |
| Brightness Skewness |
-0.134 |
| Brightness Entropy |
7.053 |
| Rms Contrast |
0.254 |
| Michelson Contrast |
0.984 |
| Weber Contrast |
0.905 |
| Mean Local Contrast |
0.009 |
| Contrast Uniformity |
0.0 |
| Dynamic Range |
0.98 |
| Effective Dynamic Range |
0.698 |
| Shadow Percentage |
40.389 |
| Midtone Percentage |
35.434 |
| Highlight Percentage |
24.177 |
| Shadow Clipping |
0.0 |
| Highlight Clipping |
0.0 |
| Tonal Balance |
0.0 |
| Fine Contrast |
0.005 |
| Medium Contrast |
0.012 |
| Coarse Contrast |
None |
| Multiscale Contrast Ratio |
1.0 |
| Edge Contrast |
0.067 |
| Contrast Clustering |
0.729 |
D) Spatial Distribution Analysis
| Metric |
Value |
| Spatial Coherence |
0.781 |
| Color Clustering |
0.524 |
| Color Transition Smoothness |
0.828 |
| Transition Uniformity |
0.885 |
| Sharp Transition Ratio |
0.1 |
| Transition Directionality |
0.252 |
| Mean Saturation |
0.687 |
| Saturation Variance |
0.019 |
| Low Saturation Ratio |
0.012 |
| Medium Saturation Ratio |
0.567 |
| High Saturation Ratio |
0.421 |
| Saturation Clustering |
1.0 |
| Hue Concentration |
0.681 |
| Complementary Balance |
0.0 |
| Analogous Dominance |
0.824 |
| Temperature Bias |
0.8 |
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.
