AQC0728 | NAN-COL000226

Nanopublication — Computational Image Analysis - AQC0728

Eb Major - Research on Harmony - Variation 3

Claim 1: Computational Image Analysis - AQC0728

Computational analysis of the photograph of the artwork Eb Major - Research on Harmony - Variation 3 (AQC0728) [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 23 flat areas. The largest are moderate reddish orange (27%), dark purple (17%) and dark grayish blue (13%). Among the others, those that stand out most sharply from their surroundings are very pale purple in the centre (0.1%), moderate purple in the centre (0.3%) and dark grayish reddish brown at the top (0.5%). By colour name family: orange 31%, purple 23%, gray 17%, orange yellow 11%, blue 6.7%, reddish purple 2.5%, black 2.4%, brown 2.0%, pink 1.6%, red 1.5% and violet 1.2%.

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: 2983x3978 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 (6).

Rank Colour ISCC-NBS name Munsell Area Contrast Position
1 373941 dark grayish blue 1.3PB 2.5/1.3 13% 42.4 on the left
2 DEDFE8 very pale purple 9.6PB 8.8/2.6 0.1% 42.2 in the centre
3 6F5483 moderate purple 3.1P 3.9/6.6 0.3% 40.6 in the centre
4 312C29 dark grayish reddish brown 8.3R 1.9/0.6 0.5% 38.7 at the top
5 CFBDE7 very light purple 3.4P 7.8/5.6 0.5% 35.4 at the top
6 7A5578 moderate purple 8.0P 4.1/6.2 0.3% 31.3 in the centre
7 5B3B5F dark purple 8.2P 3.0/4.6 17% 31.3 at the bottom right
8 B47241 brownish orange 5.0YR 5.4/7.0 0.1% 31.1 at the top
9 D1C5B4 yellowish gray 8.0YR 7.9/1.7 2.8% 29.8 at the top left
10 BB93C5 light purple 6.5P 6.6/7.3 5.9% 27.9 at the top left
11 614872 moderate purple 4.2P 3.6/5.3 1.0% 27.7 at the top
12 C6BBA7 yellowish gray 4.5Y 7.6/1.7 0.5% 26.6 at the top right
13 DEBA9D pale orange yellow 7.8YR 7.8/3.5 1.6% 26.1 in the centre
14 EDA827 strong orange yellow 0.5Y 7.4/11.1 11% 24.6 at the bottom
15 F0AB2F strong orange yellow 9.4YR 7.5/11.3 0.3% 22.9 at the top
16 C3BAAD yellowish gray 2.4Y 7.6/1.2 11% 22.1 at the bottom left
17 6D564D grayish reddish brown 2.1YR 3.7/2.0 0.1% 18.2 at the bottom right
18 735687 moderate purple 5.0P 4.0/6.9 0.7% 15.2 in the centre
19 BE651F deep orange 4.1YR 5.1/10.4 3.1% 14.0 in the centre
20 483243 dark reddish purple 2.2RP 2.5/2.7 0.1% 11.3 in the centre
21 443261 moderate violet 0.7P 2.5/6.4 0.8% 10.5 in the centre
22 B86448 moderate reddish orange 9.4R 5.1/8.2 27% 9.6 on the right
23 B16E37 brownish orange 4.8YR 5.2/8.1 1.4% 5.1 at the top

Colour name families

Family Area
orange 31%
purple 23%
gray 17%
orange yellow 11%
blue 6.7%
reddish purple 2.5%
black 2.4%
brown 2.0%
pink 1.6%
red 1.5%
violet 1.2%

B) Texture Analysis

Metric Value
Global Roughness 0.194
Mean Local Roughness 0.023
Roughness Uniformity 0.022
Edge Density 0.111
Mean Gradient Magnitude 0.172
Gradient Variance 0.05
Gradient Smoothness 0.0
Directional Coherence 0.013
Pattern Complexity 0.118
Pattern Repetition 1.0
Detail Frequency Ratio 0.651
Spatial Variation 0.144
Texture Consistency 0.465

C) Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.481
Brightness Variance 0.194
Brightness Uniformity 0.596
Brightness Skewness 0.016
Brightness Entropy 7.323
Rms Contrast 0.194
Michelson Contrast 1.0
Weber Contrast 0.688
Mean Local Contrast 0.024
Contrast Uniformity 0.058
Dynamic Range 1.0
Effective Dynamic Range 0.576
Shadow Percentage 31.341
Midtone Percentage 42.607
Highlight Percentage 26.051
Shadow Clipping 0.001
Highlight Clipping 0.003
Tonal Balance 0.074
Fine Contrast 0.013
Medium Contrast 0.03
Coarse Contrast 0.04
Multiscale Contrast Ratio 0.319
Edge Contrast 0.172
Contrast Clustering 0.535

D) Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.764
Color Clustering 0.473
Color Transition Smoothness 0.555
Transition Uniformity 0.667
Sharp Transition Ratio 0.1
Transition Directionality 0.017
Mean Saturation 0.435
Saturation Variance 0.063
Low Saturation Ratio 0.36
Medium Saturation Ratio 0.465
High Saturation Ratio 0.175
Saturation Clustering 0.999
Hue Concentration 0.678
Complementary Balance 0.027
Analogous Dominance 0.65
Temperature Bias 0.658

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). Eb Major - Research on Harmony - Variation 3 - Catalogue Raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0728.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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