AQC0696

Nanopublication — Computational Image Analysis - AQC0696

by Arnaud Quercy · C Major - Research on Harmony - Variation 1 · 2024

Claim 1: Computational Image Analysis - AQC0696

K-means clustering analysis [3] (10 colors) performed on artwork C Major [1] - Research on Harmony - Variation 1 (AQC0696) [2] by Arnaud Quercy [2] on 2026-02-09. 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]: 2013x2547 pixels. Analysis date: 2026-02-09.

Color Analysis

Rank Color Hex % Family Name
1 D48963 25.7 orange darksalmon
2 DB4C1C 15.6 orange chocolate
3 D15F43 14.6 red-orange indianred
4 C6AB81 14.4 yellow-orange tan
5 DF9972 11.7 orange sandybrown
6 C62D18 4.8 red-orange firebrick
7 692D25 4.7 red-orange russet
8 2C2019 4.2 orange very dark gray
9 775D4E 3.7 orange dimgray
10 EFE69C 0.5 yellow palegoldenrod

Color Families:

Family %
orange 60.9
red-orange 24.1
yellow-orange 14.4
yellow 0.5

Texture Analysis

Metric Value
Global Roughness 0.15
Mean Local Roughness 0.006
Roughness Uniformity 0.016
Edge Density 0.008
Mean Gradient Magnitude 0.038
Gradient Variance 0.018
Gradient Smoothness 0.0
Directional Coherence 0.321
Pattern Complexity 0.094
Pattern Repetition 1.0
Detail Frequency Ratio 0.651
Spatial Variation 0.107
Texture Consistency 0.172

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.53
Brightness Variance 0.15
Brightness Uniformity 0.717
Brightness Skewness -0.846
Brightness Entropy 6.732
Rms Contrast 0.15
Michelson Contrast 1.0
Weber Contrast 0.514
Mean Local Contrast 0.005
Contrast Uniformity 0.0
Dynamic Range 0.992
Effective Dynamic Range 0.475
Shadow Percentage 9.806
Midtone Percentage 72.949
Highlight Percentage 17.245
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.003
Medium Contrast 0.007
Coarse Contrast None
Multiscale Contrast Ratio 1.0
Edge Contrast 0.038
Contrast Clustering 0.828

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.846
Color Clustering 0.364
Color Transition Smoothness 0.899
Transition Uniformity 0.889
Sharp Transition Ratio 0.1
Transition Directionality 0.35
Mean Saturation 0.582
Saturation Variance 0.034
Low Saturation Ratio 0.048
Medium Saturation Ratio 0.72
High Saturation Ratio 0.232
Saturation Clustering 1.0
Hue Concentration 0.987
Complementary Balance 0.0
Analogous Dominance 1.0
Temperature Bias 0.999

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 1 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0696.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/c-major-research-on-harmony-variation-1_7qw.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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