Computational analysis of the photograph of the artwork F# Major - Research on Harmony (AQC0601) [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 8 flat areas. The largest are brilliant bluish green (47%), moderate green (19%) and moderate violet (14%). Among the others, those that stand out most sharply from their surroundings are very pale green in the centre (0.4%), dark violet at the bottom right (12%) and light bluish green in the centre (0.7%). By colour name family: green 73%, violet 24% and blue 3.2%.
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: 2041x2721 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 |
AEC2BE |
very pale green |
1.1BG 7.7/1.6 |
0.4% |
19.4 |
in the centre |
| 2 |
42BEAE |
brilliant bluish green |
3.9BG 6.9/7.1 |
47% |
16.1 |
in the centre |
| 3 |
524983 |
moderate violet |
9.4PB 3.5/7.3 |
14% |
13.9 |
at the top right |
| 4 |
312456 |
dark violet |
0.3P 1.8/6.7 |
12% |
8.8 |
at the bottom right |
| 5 |
34816F |
moderate green |
8.1G 4.9/5.7 |
19% |
4.5 |
at the bottom |
| 6 |
0F9CA2 |
light bluish green |
9.7BG 5.7/6.8 |
0.7% |
3.6 |
in the centre |
| 7 |
7870A7 |
light violet |
0.2P 5.0/6.5 |
1.0% |
3.1 |
at the top right |
| 8 |
345F52 |
moderate bluish green |
1.6BG 3.5/3.1 |
5.5% |
2.7 |
at the bottom |
Colour name families
| Family |
Area |
| green |
73% |
| violet |
24% |
| blue |
3.2% |
B) Texture Analysis
| Metric |
Value |
| Global Roughness |
0.162 |
| Mean Local Roughness |
0.038 |
| Roughness Uniformity |
0.021 |
| Edge Density |
0.225 |
| Mean Gradient Magnitude |
0.284 |
| Gradient Variance |
0.052 |
| Gradient Smoothness |
0.195 |
| Directional Coherence |
0.009 |
| Pattern Complexity |
0.164 |
| Pattern Repetition |
1.0 |
| Detail Frequency Ratio |
0.696 |
| Spatial Variation |
0.142 |
| Texture Consistency |
0.687 |
C) Brightness & Contrast Analysis
| Metric |
Value |
| Mean Brightness |
0.449 |
| Brightness Variance |
0.162 |
| Brightness Uniformity |
0.64 |
| Brightness Skewness |
-0.216 |
| Brightness Entropy |
7.263 |
| Rms Contrast |
0.162 |
| Michelson Contrast |
1.0 |
| Weber Contrast |
0.675 |
| Mean Local Contrast |
0.044 |
| Contrast Uniformity |
0.491 |
| Dynamic Range |
1.0 |
| Effective Dynamic Range |
0.506 |
| Shadow Percentage |
26.298 |
| Midtone Percentage |
66.418 |
| Highlight Percentage |
7.284 |
| Shadow Clipping |
0.0 |
| Highlight Clipping |
0.0 |
| Tonal Balance |
0.101 |
| Fine Contrast |
0.02 |
| Medium Contrast |
0.051 |
| Coarse Contrast |
0.05 |
| Multiscale Contrast Ratio |
0.394 |
| Edge Contrast |
0.284 |
| Contrast Clustering |
0.313 |
D) Spatial Distribution Analysis
| Metric |
Value |
| Spatial Coherence |
0.811 |
| Color Clustering |
0.376 |
| Color Transition Smoothness |
0.29 |
| Transition Uniformity |
0.676 |
| Sharp Transition Ratio |
0.1 |
| Transition Directionality |
0.009 |
| Mean Saturation |
0.605 |
| Saturation Variance |
0.025 |
| Low Saturation Ratio |
0.009 |
| Medium Saturation Ratio |
0.781 |
| High Saturation Ratio |
0.21 |
| Saturation Clustering |
0.998 |
| Hue Concentration |
0.802 |
| Complementary Balance |
0.0 |
| Analogous Dominance |
0.791 |
| Temperature Bias |
-0.734 |
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.
