AQC0599 | NAN-COL000346

Nanopublication — Computational Image Analysis - AQC0599

F minor - Research on Harmony - Variation 5

Claim 1: Computational Image Analysis - AQC0599

Computational analysis of the photograph of the artwork F minor - Research on Harmony - Variation 5 (AQC0599) [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 12 flat areas. The largest are moderate yellowish pink (47%), very dark purplish red (33%) and dark violet (7.8%). Among the others, those that stand out most sharply from their surroundings are strong reddish brown in the centre (0.4%), brownish orange in the centre (0.9%) and pale yellowish pink on the left (4.3%). By colour name family: pink 45%, red 34%, purple 6.1%, blue 5.8%, gray 3.4%, reddish purple 1.4%, brown 1.2% and violet 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: 2599x3264 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 201E30 dark violet 0.4P 1.2/3.1 7.8% 46.6 on the left
2 D29992 moderate yellowish pink 6.7R 6.9/5.0 47% 44.7 at the top
3 9E1D09 strong reddish brown 9.5R 3.3/11.8 0.4% 32.1 in the centre
4 B25827 brownish orange 3.1YR 4.8/9.7 0.9% 24.6 in the centre
5 3B1E2E very dark purplish red 8.3RP 1.5/3.2 33% 21.6 at the bottom
6 D9CAC6 pale yellowish pink 3.0YR 8.3/1.5 4.3% 21.6 on the left
7 B49078 light brown 6.3YR 6.3/3.2 0.1% 16.6 in the centre
8 888085 reddish gray 3.3R 5.5/0.7 1.2% 9.7 at the bottom left
9 393D44 dark bluish gray 8.2PB 2.5/1.0 1.0% 6.4 at the bottom left
10 9E6F6C grayish red 3.9R 5.0/4.3 1.9% 5.6 at the top right
11 E6C6C3 light pink 2.3R 8.1/3.1 0.6% 5.1 at the top
12 6B5B63 grayish purple 3.1RP 4.0/1.7 2.0% 4.7 at the bottom left

Colour name families

Family Area
pink 45%
red 34%
purple 6.1%
blue 5.8%
gray 3.4%
reddish purple 1.4%
brown 1.2%
violet 1.1%
orange 1.0%
white 0.6%

B) Texture Analysis

Metric Value
Global Roughness 0.254
Mean Local Roughness 0.019
Roughness Uniformity 0.024
Edge Density 0.083
Mean Gradient Magnitude 0.133
Gradient Variance 0.044
Gradient Smoothness 0.0
Directional Coherence 0.161
Pattern Complexity 0.145
Pattern Repetition 1.0
Detail Frequency Ratio 0.677
Spatial Variation 0.215
Texture Consistency 0.285

C) Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.447
Brightness Variance 0.254
Brightness Uniformity 0.432
Brightness Skewness -0.102
Brightness Entropy 7.155
Rms Contrast 0.254
Michelson Contrast 1.0
Weber Contrast 0.818
Mean Local Contrast 0.019
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.659
Shadow Percentage 42.522
Midtone Percentage 29.365
Highlight Percentage 28.113
Shadow Clipping 0.0
Highlight Clipping 0.002
Tonal Balance 0.0
Fine Contrast 0.01
Medium Contrast 0.023
Coarse Contrast None
Multiscale Contrast Ratio 1.0
Edge Contrast 0.133
Contrast Clustering 0.715

D) Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.76
Color Clustering 0.805
Color Transition Smoothness 0.658
Transition Uniformity 0.718
Sharp Transition Ratio 0.1
Transition Directionality 0.172
Mean Saturation 0.354
Saturation Variance 0.018
Low Saturation Ratio 0.34
Medium Saturation Ratio 0.649
High Saturation Ratio 0.011
Saturation Clustering 1.0
Hue Concentration 0.852
Complementary Balance 0.001
Analogous Dominance 0.908
Temperature Bias 0.891

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). F minor - Research on Harmony - Variation 5 - Catalogue Raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0599.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

Documented at

Epistemic profile

Claim typecomputational analysis
Voicethird person
Epistemic statusempirical measurement
Methodologycomputational analysis
Certaintyhigh

Checksum (SHA-256)

7e586f724b6dd4fcb955893163fcff57b490ad4b24fe50a077bd248148c652e0

This page in other formats

PDF · Markdown · Français