AQC0697

Nanopublication — Computational Image Analysis - AQC0697

by Arnaud Quercy · C minor - Research on Harmony - Variation 5 · 2024

Claim 1: Computational Image Analysis - AQC0697

K-means clustering analysis [3] (10 colors) performed on artwork C minor - Research [1] on Harmony - Variation 5 (AQC0697) [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]: 2370x2370 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 BDA781 19.8 yellow-orange tan
2 786D6A 15.5 red-orange dimgray
3 E18762 14.2 orange darksalmon
4 D9431D 13.7 red-orange chocolate
5 3C2F45 11.5 red-violet dusty mauve
6 C72B21 6.6 red-orange firebrick
7 E56742 5.9 red-orange tomato
8 503829 5.6 orange dark brown
9 D6B498 4.2 orange burlywood
10 AC9075 3.0 orange rosybrown
11 391122 0.3 red very dark red [Accent]

Color Families:

Family %
red-orange 41.7
orange 27.0
yellow-orange 19.8
red-violet 11.5
red 0.3

Accent Colors:

Hex Family Name Chroma
391122 red very dark red 22.1

Texture Analysis

Metric Value
Global Roughness 0.163
Mean Local Roughness 0.003
Roughness Uniformity 0.009
Edge Density 0.004
Mean Gradient Magnitude 0.023
Gradient Variance 0.007
Gradient Smoothness 0.0
Directional Coherence 0.43
Pattern Complexity 0.079
Pattern Repetition 1.0
Detail Frequency Ratio 0.607
Spatial Variation 0.119
Texture Consistency 0.539

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.488
Brightness Variance 0.163
Brightness Uniformity 0.666
Brightness Skewness -0.307
Brightness Entropy 6.539
Rms Contrast 0.163
Michelson Contrast 0.958
Weber Contrast 0.669
Mean Local Contrast 0.003
Contrast Uniformity 0.0
Dynamic Range 0.898
Effective Dynamic Range 0.486
Shadow Percentage 17.9
Midtone Percentage 66.01
Highlight Percentage 16.091
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.002
Medium Contrast 0.004
Coarse Contrast None
Multiscale Contrast Ratio 1.0
Edge Contrast 0.023
Contrast Clustering 0.461

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.811
Color Clustering 0.45
Color Transition Smoothness 0.93
Transition Uniformity 0.95
Sharp Transition Ratio 0.099
Transition Directionality 0.436
Mean Saturation 0.461
Saturation Variance 0.065
Low Saturation Ratio 0.314
Medium Saturation Ratio 0.445
High Saturation Ratio 0.241
Saturation Clustering 1.0
Hue Concentration 0.822
Complementary Balance 0.0
Analogous Dominance 0.866
Temperature Bias 0.872

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 minor - Research on Harmony - Variation 5 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0697.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/c-minor-research-on-harmony-variation-5_7ra.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)

71c3023ff40ec4d864cffd1e221110cca3aa21e19ef54020cd21437354460e31