AQC0746

Nanopublication — Computational Image Analysis - AQC0746

by Arnaud Quercy · C Major - Research on Harmony - Variation 4 · 2024

Claim 1: Computational Image Analysis - AQC0746

K-means clustering analysis [3] (10 colors) performed on artwork C Major [1] - Research on Harmony - Variation 4 (AQC0746) [2] by Arnaud Quercy [2] on 2026-02-04. Documentation includes: color families, texture roughness, brightness distribution, spatial coherence.

Context

Analysis performed according to MMIDS-CMP-2025 [3] includes four metric categories: (1) Color distribution via k-means (10 colors), (2) Texture analysis using Haralick features, (3) Brightness and contrast measurements, (4) Spatial pattern characterization. Source image [5]: 3024x4032 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 26232B 17.2 violet very dark gray
2 A6222A 13.4 red-orange brown
3 D64C2C 13.1 red-orange chocolate
4 C4BBB0 12.5 yellow-orange silver
5 B24435 10.5 red-orange burnt sienna
6 E9722A 9.9 orange tomato
7 E6CDC9 8.1 red-orange lightgray
8 A8A298 7.1 yellow-orange steel gray
9 474852 5.6 violet dusty mauve
10 D79F74 2.6 orange darksalmon
11 1F030B 0.3 red very dark gray [Accent]

Color Families:

Family %
red-orange 45.1
violet 22.8
yellow-orange 19.6
orange 12.5
red 0.3

Accent Colors:

Hex Family Name Chroma
1F030B red very dark gray 11.0

Texture Analysis

Metric Value
Global Roughness 0.224
Mean Local Roughness 0.023
Roughness Uniformity 0.019
Edge Density 0.139
Mean Gradient Magnitude 0.214
Gradient Variance 0.056
Gradient Smoothness 0.0
Directional Coherence 0.008
Pattern Complexity 0.118
Pattern Repetition 1.0
Detail Frequency Ratio 0.606
Spatial Variation 0.15
Texture Consistency 0.643

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.459
Brightness Variance 0.224
Brightness Uniformity 0.512
Brightness Skewness 0.146
Brightness Entropy 7.705
Rms Contrast 0.224
Michelson Contrast 1.0
Weber Contrast 0.792
Mean Local Contrast 0.028
Contrast Uniformity 0.211
Dynamic Range 1.0
Effective Dynamic Range 0.686
Shadow Percentage 32.975
Midtone Percentage 42.202
Highlight Percentage 24.822
Shadow Clipping 0.007
Highlight Clipping 0.002
Tonal Balance 0.425
Fine Contrast 0.011
Medium Contrast 0.034
Coarse Contrast 0.055
Multiscale Contrast Ratio 0.207
Edge Contrast 0.214
Contrast Clustering 0.357

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.722
Color Clustering 0.622
Color Transition Smoothness 0.458
Transition Uniformity 0.604
Sharp Transition Ratio 0.1
Transition Directionality 0.01
Mean Saturation 0.475
Saturation Variance 0.107
Low Saturation Ratio 0.445
Medium Saturation Ratio 0.128
High Saturation Ratio 0.427
Saturation Clustering 0.999
Hue Concentration 0.736
Complementary Balance 0.007
Analogous Dominance 0.854
Temperature Bias 0.74

Methodology

This analysis employs standardized computational methods for objective image characterization. Color extraction uses k-means clustering algorithm. Texture analysis applies Haralick feature extraction. Brightness metrics include mean, variance, and distribution analysis. Spatial patterns are characterized through coherence and clustering measurements. All methods are deterministic and reproducible. Analysis performed by Multimodal Institute's computational imaging systems.

References

[1] Arnaud Quercy (2024). C Major - Research on Harmony - Variation 4 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0746.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/c-major-research-on-harmony-variation-4_8ac.html

[3] Quercy, A. (2025). Computational Image Analysis Standard - MMIDS-CMP-2025 https://multimodal.institute/en/publications/2025/11/mmids-cmp-2025-computational-image-analysis-standard-dg1.html

Epistemic profile

Claim typecomputational analysis
Voicethird person
Epistemic statusempirical measurement
Methodologycomputational analysis
Certaintyhigh

Checksum (SHA-256)

b217ce01b1a3525224d6d1b0930dc4417ff8909754dd71482cb504a6f9b1116e