AQC0591 | NAN-COL000354

Nanopublication — Computational Image Analysis - AQC0591

E Major - Research on Harmony

Claim 1: Computational Image Analysis - AQC0591

Computational analysis of the photograph of the artwork E Major - Research on Harmony (AQC0591) [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 25 flat areas. The largest are moderate blue (58%), brilliant yellow green (9.5%) and vivid yellow (9.1%). Among the others, those that stand out most sharply from their surroundings are black at the top (0.6%), brilliant greenish yellow at the top (1.6%) and grayish yellow at the top (0.3%). By colour name family: blue 70%, yellow 14%, yellow green 9.7%, green 2.6% and pink 1.1%.

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: 2617x3489 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 (4).

Rank Colour ISCC-NBS name Munsell Area Contrast Position
1 1A1613 black N 0.7/ 0.6% 72.8 at the top
2 E4D35E brilliant greenish yellow 7.4Y 8.4/8.1 1.6% 55.1 at the top
3 D1B87B grayish yellow 3.6Y 7.6/5.0 0.3% 53.1 at the top
4 A3C965 brilliant yellow green 6.4GY 7.6/8.0 9.5% 47.1 on the right
5 F1BD2B vivid yellow 1.9Y 7.9/11.0 9.1% 41.6 on the left
6 66B775 brilliant yellowish green 1.4G 6.6/7.4 0.3% 41.5 in the centre
7 65B05A brilliant yellowish green 9.9GY 6.5/8.8 1.9% 39.2 in the centre
8 565B6F grayish blue 5.0PB 3.8/2.2 5.1% 37.1 at the bottom
9 EED3CF pale yellowish pink 0.3YR 8.6/2.3 0.7% 35.8 at the top left
10 6AAE72 moderate yellowish green 1.0G 6.4/6.3 0.2% 35.3 at the top left
11 2F4060 dark blue 4.3PB 2.8/4.6 0.7% 34.6 in the centre
12 376DA1 moderate blue 4.1PB 4.4/8.5 58% 33.5 in the centre
13 E8D797 pale yellow 3.4Y 8.5/4.8 3.3% 31.3 in the centre
14 4689BC moderate blue 1.6PB 5.5/8.1 0.2% 28.8 in the centre
15 BEABAA grayish pink 2.3R 7.1/1.6 0.4% 26.0 on the left
16 78B0D2 light blue 0.3PB 7.0/6.1 2.9% 24.6 at the top left
17 5585AD moderate blue 2.3PB 5.2/6.6 0.9% 24.6 at the top left
18 F5CC2F brilliant yellow 4.2Y 8.3/10.9 0.3% 23.9 at the top right
19 171F2F dark blue 5.1PB 1.0/2.4 0.1% 22.0 at the bottom
20 E7B47D pale orange yellow 8.4YR 7.6/5.8 0.4% 15.9 in the centre
21 5F643E moderate olive green 3.5GY 4.0/3.4 0.1% 15.0 in the centre
22 418FD3 brilliant blue 4.5PB 5.6/10.8 1.4% 14.1 at the top
23 79B852 brilliant yellowish green 8.1GY 6.9/9.1 0.5% 12.3 on the right
24 6F91BB light blue 3.2PB 5.9/6.5 0.5% 6.9 on the right
25 5291B7 light blue 9.2B 5.7/6.2 0.2% 2.9 at the bottom

Colour name families

Family Area
blue 70%
yellow 14%
yellow green 9.7%
green 2.6%
pink 1.1%
black 0.6%

B) Texture Analysis

Metric Value
Global Roughness 0.178
Mean Local Roughness 0.015
Roughness Uniformity 0.029
Edge Density 0.048
Mean Gradient Magnitude 0.115
Gradient Variance 0.08
Gradient Smoothness 0.0
Directional Coherence 0.253
Pattern Complexity 0.112
Pattern Repetition 1.0
Detail Frequency Ratio 0.637
Spatial Variation 0.079
Texture Consistency 0.555

C) Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.489
Brightness Variance 0.178
Brightness Uniformity 0.635
Brightness Skewness 0.51
Brightness Entropy 6.966
Rms Contrast 0.178
Michelson Contrast 1.0
Weber Contrast 0.572
Mean Local Contrast 0.016
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.498
Shadow Percentage 11.886
Midtone Percentage 63.62
Highlight Percentage 24.493
Shadow Clipping 0.005
Highlight Clipping 0.001
Tonal Balance 0.0
Fine Contrast 0.009
Medium Contrast 0.021
Coarse Contrast None
Multiscale Contrast Ratio 1.0
Edge Contrast 0.115
Contrast Clustering 0.445

D) Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.75
Color Clustering 0.374
Color Transition Smoothness 0.695
Transition Uniformity 0.456
Sharp Transition Ratio 0.1
Transition Directionality 0.26
Mean Saturation 0.593
Saturation Variance 0.028
Low Saturation Ratio 0.081
Medium Saturation Ratio 0.709
High Saturation Ratio 0.21
Saturation Clustering 0.999
Hue Concentration 0.505
Complementary Balance 0.064
Analogous Dominance 0.709
Temperature Bias -0.552

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.

References

  1. [1] Quercy, A. (2024). E Major - Research on Harmony - Catalogue Raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0591.html
  2. [2] Quercy, A. (2025). ORCID https://orcid.org/0009-0000-2662-7790
  3. [3] Quercy, A. (2026). Computational Image Analysis Standard. https://ideamorphism.org/en/measurements/2025/11/ids-cmp-2025-computational-image-analysis-standard-5dq9.html

Epistemic profile

Claim typecomputational analysis
Voicethird person
Epistemic statusempirical measurement
Methodologycomputational analysis
Certaintyhigh

Checksum (SHA-256)

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