AQC0748

Nanopublication — Computational Image Analysis - AQC0748

by Arnaud Quercy · C Major - Research on Harmony - Variation 6 · 2024

Claim 1: Computational Image Analysis - AQC0748

K-means clustering analysis [3] (10 colors) performed on artwork C Major [1] - Research on Harmony - Variation 6 (AQC0748) [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]: 2982x3977 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 292629 16.2 gray very dark gray
2 913933 14.9 red-orange brown
3 B1ACA3 14.6 yellow-orange steel gray
4 DDC2B7 13.7 orange silver
5 AC503C 10.7 red-orange burnt sienna
6 E88017 7.9 orange chocolate
7 EECCD4 7.2 red pink
8 CB3833 6.4 red-orange firebrick
9 DF6E66 5.4 red-orange indianred
10 E89D99 3.1 red-orange darksalmon
11 6A475E 0.3 red-violet dusty mauve [Accent]
12 EAEBF5 0.3 blue-violet white [Accent]

Color Families:

Family %
red-orange 40.4
orange 21.6
gray 16.2
yellow-orange 14.6
red 7.2
red-violet 0.3
blue-violet 0.3

Accent Colors:

Hex Family Name Chroma
6A475E red-violet dusty mauve 20.2
EAEBF5 blue-violet white 5.1

Texture Analysis

Metric Value
Global Roughness 0.231
Mean Local Roughness 0.015
Roughness Uniformity 0.016
Edge Density 0.053
Mean Gradient Magnitude 0.139
Gradient Variance 0.041
Gradient Smoothness 0.0
Directional Coherence 0.011
Pattern Complexity 0.115
Pattern Repetition 1.0
Detail Frequency Ratio 0.593
Spatial Variation 0.146
Texture Consistency 0.667

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.509
Brightness Variance 0.231
Brightness Uniformity 0.547
Brightness Skewness -0.118
Brightness Entropy 7.456
Rms Contrast 0.231
Michelson Contrast 1.0
Weber Contrast 0.796
Mean Local Contrast 0.018
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.69
Shadow Percentage 24.14
Midtone Percentage 42.277
Highlight Percentage 33.583
Shadow Clipping 0.004
Highlight Clipping 0.003
Tonal Balance 0.162
Fine Contrast 0.007
Medium Contrast 0.022
Coarse Contrast 0.038
Multiscale Contrast Ratio 0.182
Edge Contrast 0.139
Contrast Clustering 0.333

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.726
Color Clustering 0.572
Color Transition Smoothness 0.651
Transition Uniformity 0.731
Sharp Transition Ratio 0.1
Transition Directionality 0.018
Mean Saturation 0.398
Saturation Variance 0.09
Low Saturation Ratio 0.504
Medium Saturation Ratio 0.286
High Saturation Ratio 0.21
Saturation Clustering 1.0
Hue Concentration 0.971
Complementary Balance 0.001
Analogous Dominance 0.997
Temperature Bias 0.995

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 6 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0748.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/c-major-research-on-harmony-variation-6_8b4.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)

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