AQC1147

Nanopublication — Computational Image Analysis - AQC1147

D7 - Research on Harmony - Variations 4

Claim 1: Computational Image Analysis - AQC1147

Computational analysis of the photograph of the artwork D7 - Research on Harmony - Variations 4 (AQC1147) [1] by Arnaud Quercy [2], according to IDS-CMP-2025 [3], on an image 1000 pixels on its longer side, on 2026-10-07. 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 18 flat areas. The largest are moderate orange (36%), grayish blue (12%) and strong brown (11%). Among the others, those that stand out most sharply from their surroundings are grayish yellow at the bottom right (4.6%), blackish green in the centre (4.4%) and vivid reddish orange at the bottom (2.7%). By colour name family: orange 34%, brown 15%, blue 15%, yellow 7.5%, pink 7.3%, green 6.5%, black 4.3%, gray 4.0%, orange yellow 3.1% and yellow green 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: 1150x1477 pixels. Analysis date: 2026-10-07.

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 B0A578 grayish yellow 3.7Y 6.7/3.2 4.6% 54.7 at the bottom right
2 0F1F16 blackish green 3.2G 0.8/1.9 4.4% 45.2 in the centre
3 FE6200 vivid reddish orange 0.6YR 6.0/16.1 2.7% 43.4 at the bottom
4 5F5E61 dark bluish gray 8.5PB 3.9/1.0 0.8% 39.7 at the top
5 BE8101 dark orange yellow 0.5Y 5.8/9.9 0.8% 36.2 in the centre
6 417F27 strong yellow green 7.8GY 4.6/8.1 3.0% 35.4 on the right
7 C1A486 light yellowish brown 8.2YR 6.8/3.6 2.6% 31.8 in the centre
8 5D6573 grayish blue 5.0PB 4.1/2.3 12% 31.1 at the bottom
9 0E0A09 black N 0.3/ 4.7% 30.7 at the bottom right
10 B1381D deep reddish orange 9.6R 4.2/11.9 1.3% 29.8 at the top left
11 953B01 strong brown 2.4YR 3.6/9.8 11% 29.5 in the centre
12 F49B66 moderate orange 3.4YR 7.1/9.1 36% 26.9 at the top
13 BDC601 strong greenish yellow 1.8GY 7.5/10.7 1.2% 25.3 on the right
14 444D5D grayish blue 5.0PB 3.2/2.1 5.5% 23.4 at the bottom right
15 FCCAA8 light yellowish pink 4.3YR 8.5/4.4 2.3% 18.2 at the top
16 C9BF85 grayish yellow 4.8Y 7.6/4.1 2.5% 17.7 at the top left
17 714C34 moderate brown 5.0YR 3.6/4.1 3.6% 17.6 on the right
18 393B16 dark olive 0.6GY 2.4/3.7 0.3% 17.4 in the centre

Colour name families

Family Area
orange 34%
brown 15%
blue 15%
yellow 7.5%
pink 7.3%
green 6.5%
black 4.3%
gray 4.0%
orange yellow 3.1%
yellow green 1.1%
olive 0.7%
olive black 0.5%

B) Texture Analysis

Metric Value
Global Roughness 0.216
Mean Local Roughness 0.012
Roughness Uniformity 0.017
Edge Density 0.019
Mean Gradient Magnitude 0.075
Gradient Variance 0.025
Gradient Smoothness 0.0
Directional Coherence 0.147
Pattern Complexity 0.126
Pattern Repetition 1.0
Detail Frequency Ratio 0.618
Spatial Variation 0.152
Texture Consistency 0.478

C) Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.495
Brightness Variance 0.216
Brightness Uniformity 0.562
Brightness Skewness -0.408
Brightness Entropy 7.201
Rms Contrast 0.216
Michelson Contrast 1.0
Weber Contrast 0.691
Mean Local Contrast 0.011
Contrast Uniformity 0.0
Dynamic Range 0.976
Effective Dynamic Range 0.714
Shadow Percentage 26.434
Midtone Percentage 45.421
Highlight Percentage 28.145
Shadow Clipping 0.013
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.007
Medium Contrast 0.014
Coarse Contrast None
Multiscale Contrast Ratio 1.0
Edge Contrast 0.075
Contrast Clustering 0.522

D) Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.747
Color Clustering 0.55
Color Transition Smoothness 0.794
Transition Uniformity 0.829
Sharp Transition Ratio 0.1
Transition Directionality 0.143
Mean Saturation 0.542
Saturation Variance 0.073
Low Saturation Ratio 0.223
Medium Saturation Ratio 0.477
High Saturation Ratio 0.3
Saturation Clustering 0.999
Hue Concentration 0.675
Complementary Balance 0.108
Analogous Dominance 0.806
Temperature Bias 0.633

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. (2026). D7 - Research on Harmony - Variations 4 - Catalogue Raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC1147.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

Where this work lives

Epistemic profile

Claim typecomputational analysis
Voicethird person
Epistemic statusempirical measurement
Methodologycomputational analysis
Certaintyhigh

Checksum (SHA-256)

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