AQC0837 | NAN-COL000118

Nanopublication — Computational Image Analysis - AQC0837

G Major - Research on Harmony - Variation 4

Claim 1: Computational Image Analysis - AQC0837

Computational analysis of the photograph of the artwork G Major - Research on Harmony - Variation 4 (AQC0837) [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 pale yellow green (33%), pale yellow green (20%) and grayish yellow green (16%). Among the others, those that stand out most sharply from their surroundings are olive black in the centre (0.9%), moderate yellowish pink at the bottom right (0.2%) and dark orange yellow in the centre (9.1%). By colour name family: yellow green 65%, green 12%, gray 5.3%, yellow 4.8%, orange yellow 4.2%, brown 2.6%, olive brown 2.2% and olive 1.8%.

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: 2434x3246 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 (11).

Rank Colour ISCC-NBS name Munsell Area Contrast Position
1 27261A olive black 0.6GY 1.4/0.9 0.9% 44.2 in the centre
2 C0D1AA pale yellow green 6.5GY 8.2/2.8 33% 24.7 at the top right
3 DEB8A1 moderate yellowish pink 5.7YR 7.8/3.1 0.2% 21.2 at the bottom right
4 BD8D32 dark orange yellow 0.8Y 6.0/7.9 9.1% 18.9 in the centre
5 8C5F17 strong yellowish brown 9.2YR 4.2/7.5 0.2% 17.8 in the centre
6 876829 light olive brown 4.0Y 4.6/5.4 0.2% 17.7 at the bottom
7 966F19 light olive brown 1.4Y 4.7/7.2 0.1% 13.5 at the top
8 906F25 light olive brown 1.0Y 4.7/6.8 0.1% 11.8 in the centre
9 B8994D dark yellow 3.2Y 6.5/6.5 0.9% 11.4 at the top left
10 95641D strong yellowish brown 9.4YR 4.5/7.4 0.1% 10.2 in the centre
11 9E7418 light olive brown 1.8Y 5.0/7.6 2.3% 9.3 at the top
12 906A1B light olive brown 1.4Y 4.7/7.2 0.5% 8.5 at the top
13 929F96 greenish gray 0.6G 6.2/0.8 0.2% 8.1 at the bottom right
14 97987E grayish yellow green 4.6GY 6.2/2.4 0.4% 7.7 at the bottom
15 A0A083 grayish yellow green 0.7GY 6.6/2.2 0.2% 7.4 at the top
16 BFC3A4 pale yellow green 5.2GY 7.7/2.1 3.8% 4.6 at the top left
17 BAC1A4 pale yellow green 5.2GY 7.7/2.1 20% 2.1 on the left
18 A4AD8A grayish yellow green 4.9GY 6.8/2.3 9.7% 1.6 at the bottom left
19 ADBC98 grayish yellow green 7.1GY 7.3/2.4 16% 1.1 at the bottom right

Colour name families

Family Area
yellow green 65%
green 12%
gray 5.3%
yellow 4.8%
orange yellow 4.2%
brown 2.6%
olive brown 2.2%
olive 1.8%
white 0.6%

B) Texture Analysis

Metric Value
Global Roughness 0.135
Mean Local Roughness 0.023
Roughness Uniformity 0.017
Edge Density 0.144
Mean Gradient Magnitude 0.189
Gradient Variance 0.036
Gradient Smoothness 0.0
Directional Coherence 0.004
Pattern Complexity 0.118
Pattern Repetition 1.0
Detail Frequency Ratio 0.628
Spatial Variation 0.075
Texture Consistency 0.614

C) Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.693
Brightness Variance 0.135
Brightness Uniformity 0.805
Brightness Skewness -1.502
Brightness Entropy 6.897
Rms Contrast 0.135
Michelson Contrast 1.0
Weber Contrast 0.37
Mean Local Contrast 0.025
Contrast Uniformity 0.342
Dynamic Range 1.0
Effective Dynamic Range 0.396
Shadow Percentage 1.952
Midtone Percentage 30.886
Highlight Percentage 67.161
Shadow Clipping 0.005
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.013
Medium Contrast 0.031
Coarse Contrast 0.046
Multiscale Contrast Ratio 0.289
Edge Contrast 0.189
Contrast Clustering 0.386

D) Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.706
Color Clustering 0.424
Color Transition Smoothness 0.537
Transition Uniformity 0.765
Sharp Transition Ratio 0.1
Transition Directionality 0.005
Mean Saturation 0.263
Saturation Variance 0.046
Low Saturation Ratio 0.81
Medium Saturation Ratio 0.088
High Saturation Ratio 0.102
Saturation Clustering 0.999
Hue Concentration 0.941
Complementary Balance 0.0
Analogous Dominance 0.996
Temperature Bias 0.337

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. (2025). G Major - Research on Harmony - Variation 4 - Catalogue Raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0837.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)

2823f7aa1127a40279e692b54af96ca87d90855834bdac122624ba5652a95403

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