AQC0436 | NAN-COL000467

Nanopublication — Computational Image Analysis - AQC0436

Eb minor - Reflexions 2

Claim 1: Computational Image Analysis - AQC0436

Computational analysis of the photograph of the artwork Eb minor - Reflexions 2 (AQC0436) [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 47 flat areas. The largest are light greenish gray (69%), grayish blue (3.1%) and pale orange yellow (2.9%). Among the others, those that stand out most sharply from their surroundings are grayish brown on the right (0.1%), dark blue on the right (0.7%) and blackish blue on the left (0.3%). By colour name family: gray 60%, blue 25%, pink 2.5%, orange yellow 1.8%, green 1.7%, brown 1.5%, olive gray 1.4% and red 1.2%.

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: 1536x2048 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 (6).

Rank Colour ISCC-NBS name Munsell Area Contrast Position
1 493D30 grayish brown 5.7YR 2.6/1.5 0.1% 43.5 on the right
2 1A2D44 dark blue 4.5PB 1.8/3.6 0.7% 38.5 on the right
3 252728 blackish blue 7.9PB 1.4/1.0 0.3% 37.0 on the left
4 E7BE7E pale orange yellow 0.5Y 7.8/5.8 2.9% 35.9 in the centre
5 454B4F dark greenish gray 6.6BG 3.1/0.7 0.2% 35.9 on the right
6 4A545E dark bluish gray 1.6PB 3.5/1.3 0.1% 24.0 in the centre
7 535B61 dark bluish gray 1.7PB 3.8/1.3 0.1% 22.5 in the centre
8 573C2E moderate brown 6.9YR 2.7/2.7 0.1% 22.4 in the centre
9 2E4356 dark grayish blue 9.6B 2.7/2.8 0.1% 22.2 on the left
10 A38830 dark yellow 5.1Y 5.8/6.7 0.1% 22.1 on the right
11 9A9243 dark greenish yellow 8.7Y 5.9/5.8 0.1% 21.6 on the right
12 A09340 dark yellow 6.6Y 6.0/5.9 0.1% 21.0 on the right
13 284054 dark grayish blue 9.6B 2.7/2.8 0.3% 19.2 at the top right
14 AF7766 grayish reddish orange 9.8R 5.3/5.0 0.9% 18.1 in the centre
15 904D48 grayish red 4.8R 4.0/6.6 0.8% 17.9 at the top
16 4A545E dark bluish gray 1.6PB 3.5/1.3 0.1% 17.8 in the centre
17 CA9C98 moderate pink 2.9R 6.8/4.4 2.1% 17.3 in the centre
18 586063 dark greenish gray 7.5BG 4.1/0.7 0.1% 17.3 on the right
19 89817C light brownish gray 9.6YR 5.5/0.9 0.1% 16.0 at the bottom left
20 6C7C88 grayish blue 2.4PB 5.0/2.8 0.6% 15.6 on the right
21 4F6472 grayish blue 9.9B 4.0/3.0 1.4% 15.3 on the left
22 9FA3A7 light greenish gray 9.1BG 6.6/0.6 69% 14.6 in the centre
23 442722 dark grayish reddish brown 8.9R 1.8/2.9 0.2% 14.5 at the top
24 878285 medium gray N 5.4/ 0.8% 14.0 on the left
25 2A3C50 dark blue 4.3PB 2.5/3.5 0.3% 13.4 at the top
26 303D4A dark blue 4.9PB 2.5/2.2 0.2% 11.8 at the top
27 5D758F grayish blue 2.7PB 4.7/3.9 2.0% 11.7 at the bottom
28 6F7F89 grayish blue 2.4PB 5.0/2.8 3.1% 11.5 in the centre
29 949FA4 pale blue 2.5PB 6.3/1.5 1.8% 11.4 in the centre
30 283F5E dark blue 5.5PB 2.5/4.5 0.1% 11.3 at the bottom
31 707E8D grayish blue 5.2PB 5.1/2.5 0.1% 11.1 at the bottom right
32 D69C95 moderate yellowish pink 6.7R 6.9/5.0 0.4% 10.4 in the centre
33 898D81 light olive gray 0.7GY 5.7/0.6 2.7% 10.1 at the top left
34 342A28 dark grayish reddish brown 8.3R 1.9/0.6 0.6% 9.8 at the top
35 495E6F grayish blue 2.1PB 3.8/2.6 1.9% 9.8 at the top
36 677874 grayish green 9.7G 4.9/2.0 0.7% 8.2 at the top left
37 708091 grayish blue 2.5PB 5.3/2.8 0.1% 7.9 at the bottom
38 989A9A medium gray N 6.3/ 0.6% 7.3 on the right
39 B2B1AD yellowish gray 0.8GY 7.2/0.5 0.1% 6.1 on the right
40 8A979E pale blue 2.5PB 6.0/1.5 0.4% 5.9 on the right
41 8C8E8A medium gray N 5.7/ 0.3% 5.4 on the right
42 A8A6A6 pinkish gray 2.5R 6.7/0.8 0.3% 4.7 in the centre
43 616567 dark gray N 4.2/ 0.3% 4.7 at the top left
44 A9ACAD light gray N 6.9/ 0.3% 4.4 on the right
45 B2C2D0 very pale blue 3.0PB 7.8/2.9 0.1% 4.1 at the bottom right
46 A4A8A8 light greenish gray 9.2BG 6.9/0.6 0.3% 2.3 on the right
47 A1A6A9 light purplish gray 9.3PB 6.7/1.3 0.1% 1.2 on the right

Colour name families

Family Area
gray 60%
blue 25%
pink 2.5%
orange yellow 1.8%
green 1.7%
brown 1.5%
olive gray 1.4%
red 1.2%
yellow 1.0%
olive 0.7%
purple 0.7%
orange 0.7%
yellow green 0.5%
black 0.5%

B) Texture Analysis

Metric Value
Global Roughness 0.145
Mean Local Roughness 0.017
Roughness Uniformity 0.018
Edge Density 0.052
Mean Gradient Magnitude 0.146
Gradient Variance 0.041
Gradient Smoothness 0.0
Directional Coherence 0.005
Pattern Complexity 0.112
Pattern Repetition 1.0
Detail Frequency Ratio 0.615
Spatial Variation 0.078
Texture Consistency 0.661

C) Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.588
Brightness Variance 0.145
Brightness Uniformity 0.753
Brightness Skewness -0.919
Brightness Entropy 7.085
Rms Contrast 0.145
Michelson Contrast 1.0
Weber Contrast 0.466
Mean Local Contrast 0.019
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.494
Shadow Percentage 6.469
Midtone Percentage 60.035
Highlight Percentage 33.496
Shadow Clipping 0.001
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.008
Medium Contrast 0.024
Coarse Contrast 0.038
Multiscale Contrast Ratio 0.219
Edge Contrast 0.146
Contrast Clustering 0.339

D) Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.719
Color Clustering 0.618
Color Transition Smoothness 0.624
Transition Uniformity 0.718
Sharp Transition Ratio 0.1
Transition Directionality 0.002
Mean Saturation 0.123
Saturation Variance 0.02
Low Saturation Ratio 0.886
Medium Saturation Ratio 0.108
High Saturation Ratio 0.006
Saturation Clustering 1.0
Hue Concentration 0.217
Complementary Balance 0.179
Analogous Dominance 0.597
Temperature Bias -0.199

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. (2023). Eb minor - Reflexions 2 - Catalogue Raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0436.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)

a1048f265784939b5fb6cf114fb45eed12cf9e0f03ac4c2fbc697ab714667ae3

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