AQC0691 | NAN-COL000259

Nanopublication — Computational Image Analysis - AQC0691

Ab minor - Research on Harmony - Variation 4

Claim 1: Computational Image Analysis - AQC0691

Computational analysis of the photograph of the artwork Ab minor - Research on Harmony - Variation 4 (AQC0691) [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 13 flat areas. The largest are dark blue (23%), grayish blue (18%) and dark purplish blue (15%). Among the others, those that stand out most sharply from their surroundings are strong yellow at the top (0.3%), moderate yellow in the centre (2.4%) and light greenish gray in the centre (0.7%). By colour name family: blue 58%, brown 6.8%, yellow brown 5.1%, reddish purple 4.4%, gray 4.2%, violet 3.8%, red 3.8%, olive brown 3.4%, olive gray 2.9%, yellow 2.6%, purple 2.3% and olive 2.0%.

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: 2281x2281 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 (0).

Rank Colour ISCC-NBS name Munsell Area Contrast Position
1 DDC14A strong yellow 5.8Y 7.8/8.5 0.3% 32.0 at the top
2 E3C35E moderate yellow 4.0Y 7.9/7.8 2.4% 31.9 in the centre
3 A9B0A5 light greenish gray 6.9GY 7.1/1.2 0.7% 28.8 in the centre
4 D2B3AA grayish yellowish pink 8.9R 7.5/2.8 0.4% 28.1 at the top
5 423838 dark reddish gray 6.2R 2.6/0.6 1.1% 18.7 at the bottom
6 2B2A40 dark purplish blue 8.1PB 1.9/3.2 15% 18.2 at the top right
7 86687C grayish reddish purple 1.0RP 4.7/3.1 9.2% 16.2 at the bottom left
8 5A6B81 grayish blue 4.3PB 4.4/3.6 6.7% 15.1 at the bottom left
9 4D5F6E grayish blue 2.1PB 3.8/2.6 18% 13.4 in the centre
10 564639 grayish brown 5.3YR 3.0/1.5 12% 11.2 at the top left
11 31446D dark blue 6.2PB 2.9/5.5 23% 9.3 at the bottom right
12 665D5A dark reddish gray 3.9R 3.9/0.6 0.1% 8.2 at the bottom left
13 797665 light olive brown 3.6Y 4.8/1.4 10% 6.2 at the top left

Colour name families

Family Area
blue 58%
brown 6.8%
yellow brown 5.1%
reddish purple 4.4%
gray 4.2%
violet 3.8%
red 3.8%
olive brown 3.4%
olive gray 2.9%
yellow 2.6%
purple 2.3%
olive 2.0%

B) Texture Analysis

Metric Value
Global Roughness 0.124
Mean Local Roughness 0.006
Roughness Uniformity 0.016
Edge Density 0.013
Mean Gradient Magnitude 0.045
Gradient Variance 0.017
Gradient Smoothness 0.0
Directional Coherence 0.259
Pattern Complexity 0.102
Pattern Repetition 1.0
Detail Frequency Ratio 0.676
Spatial Variation 0.097
Texture Consistency 0.133

C) Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.335
Brightness Variance 0.124
Brightness Uniformity 0.629
Brightness Skewness 1.367
Brightness Entropy 6.48
Rms Contrast 0.124
Michelson Contrast 1.0
Weber Contrast 0.605
Mean Local Contrast 0.006
Contrast Uniformity 0.0
Dynamic Range 0.984
Effective Dynamic Range 0.337
Shadow Percentage 52.244
Midtone Percentage 44.768
Highlight Percentage 2.989
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.004
Medium Contrast 0.008
Coarse Contrast None
Multiscale Contrast Ratio 1.0
Edge Contrast 0.045
Contrast Clustering 0.867

D) Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.825
Color Clustering 0.444
Color Transition Smoothness 0.874
Transition Uniformity 0.893
Sharp Transition Ratio 0.1
Transition Directionality 0.275
Mean Saturation 0.343
Saturation Variance 0.019
Low Saturation Ratio 0.412
Medium Saturation Ratio 0.584
High Saturation Ratio 0.004
Saturation Clustering 1.0
Hue Concentration 0.485
Complementary Balance 0.198
Analogous Dominance 0.7
Temperature Bias -0.259

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). Ab minor - Research on Harmony - Variation 4 - Catalogue Raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0691.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)

78cd6765f9f05d1af8accbdcfae480e0994a7ca8dd2c336c78ce81096cd2210e

This page in other formats

PDF · Markdown · Français