AQC0647 | NAN-COL000299

Nanopublication — Computational Image Analysis - AQC0647

A Major - Research on Harmony

Claim 1: Computational Image Analysis - AQC0647

Computational analysis of the photograph of the artwork A Major - Research on Harmony (AQC0647) [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 15 flat areas. The largest are strong orange (40%), strong yellow (21%) and dark bluish green (17%). Among the others, those that stand out most sharply from their surroundings are dark grayish olive in the centre (1.7%), olive black at the top (0.2%) and white at the top left (0.4%). By colour name family: orange 24%, green 24%, yellow 22%, orange yellow 16%, black 4.9%, olive black 2.7%, gray 1.8%, olive 1.4% 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: 1984x2976 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 (14).

Rank Colour ISCC-NBS name Munsell Area Contrast Position
1 3E392B dark grayish olive 0.6GY 2.5/1.7 1.7% 57.5 in the centre
2 1C1912 olive black 0.6GY 1.0/0.9 0.2% 46.7 at the top
3 DCD9D6 white 1.0GY 8.7/0.5 0.4% 45.5 at the top left
4 D3CDC1 yellowish gray 8.2YR 8.2/0.8 2.2% 45.2 at the bottom left
5 14100B olive black 0.6GY 0.6/0.7 0.5% 40.3 in the centre
6 83440E strong brown 5.1YR 3.6/8.0 0.2% 33.4 at the bottom right
7 275753 dark bluish green 6.3BG 3.2/3.4 17% 28.9 on the left
8 14110C olive black 0.6GY 0.6/0.7 6.7% 27.0 on the left
9 4F9B97 light bluish green 4.8BG 5.8/5.1 6.3% 19.6 at the top left
10 EAC22B strong yellow 4.0Y 8.0/10.6 21% 15.4 in the centre
11 A6A74C dark greenish yellow 0.8GY 6.5/6.2 0.1% 13.7 at the top
12 A9AC4E moderate greenish yellow 0.8GY 6.8/6.7 1.5% 13.6 at the top
13 EC9319 strong orange 6.9YR 6.8/11.9 40% 12.0 on the right
14 D99920 strong orange yellow 9.9YR 6.8/10.5 0.1% 4.1 at the bottom
15 ED9119 strong orange 6.9YR 6.8/11.9 0.1% 1.9 at the bottom right

Colour name families

Family Area
orange 24%
green 24%
yellow 22%
orange yellow 16%
black 4.9%
olive black 2.7%
gray 1.8%
olive 1.4%
brown 1.0%
yellow green 0.8%
white 0.7%

B) Texture Analysis

Metric Value
Global Roughness 0.218
Mean Local Roughness 0.024
Roughness Uniformity 0.032
Edge Density 0.077
Mean Gradient Magnitude 0.184
Gradient Variance 0.099
Gradient Smoothness 0.0
Directional Coherence 0.02
Pattern Complexity 0.115
Pattern Repetition 1.0
Detail Frequency Ratio 0.644
Spatial Variation 0.164
Texture Consistency 0.463

C) Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.537
Brightness Variance 0.218
Brightness Uniformity 0.593
Brightness Skewness -0.861
Brightness Entropy 7.17
Rms Contrast 0.218
Michelson Contrast 1.0
Weber Contrast 0.708
Mean Local Contrast 0.025
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.718
Shadow Percentage 23.995
Midtone Percentage 47.533
Highlight Percentage 28.471
Shadow Clipping 0.045
Highlight Clipping 0.015
Tonal Balance 0.0
Fine Contrast 0.013
Medium Contrast 0.033
Coarse Contrast 0.049
Multiscale Contrast Ratio 0.263
Edge Contrast 0.184
Contrast Clustering 0.537

D) Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.751
Color Clustering 0.628
Color Transition Smoothness 0.531
Transition Uniformity 0.325
Sharp Transition Ratio 0.1
Transition Directionality 0.028
Mean Saturation 0.711
Saturation Variance 0.053
Low Saturation Ratio 0.065
Medium Saturation Ratio 0.305
High Saturation Ratio 0.629
Saturation Clustering 0.997
Hue Concentration 0.584
Complementary Balance 0.006
Analogous Dominance 0.748
Temperature Bias 0.487

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). A Major - Research on Harmony - Catalogue Raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0647.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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