AQC0759

Nanopublication — Computational Image Analysis - AQC0759

by Arnaud Quercy · F Major - Research on Harmony - Variation 5 · 2024

Claim 1: Computational Image Analysis - AQC0759

The artwork F Major [1] - Research on Harmony - Variation 5 (AQC0759) [2] by Arnaud Quercy [2] underwent comprehensive computational analysis [3] on 2026-02-04. Method: k-means clustering with 10 colors extracted. Metrics documented: color distribution, texture analysis, brightness/contrast, spatial patterns.

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]: 2956x3941 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 AD3246 18.1 red-orange brown
2 6C2227 17.1 red-orange russet
3 CFC7BC 14.2 yellow-orange silver
4 913C38 13.8 red-orange burnt sienna
5 26222B 12.4 violet very dark gray
6 BBB6AB 10.5 yellow-orange steel gray
7 A96848 4.8 orange burnt sienna
8 D8B386 4.7 yellow-orange burlywood
9 ECD1DA 2.4 red gainsboro
10 CA9E4C 1.9 yellow-orange peru

Color Families:

Family %
red-orange 48.9
yellow-orange 31.4
violet 12.4
orange 4.8
red 2.5

Texture Analysis

Metric Value
Global Roughness 0.238
Mean Local Roughness 0.008
Roughness Uniformity 0.01
Edge Density 0.012
Mean Gradient Magnitude 0.084
Gradient Variance 0.02
Gradient Smoothness 0.0
Directional Coherence 0.028
Pattern Complexity 0.113
Pattern Repetition 1.0
Detail Frequency Ratio 0.573
Spatial Variation 0.194
Texture Consistency 0.29

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.444
Brightness Variance 0.238
Brightness Uniformity 0.464
Brightness Skewness 0.397
Brightness Entropy 7.18
Rms Contrast 0.238
Michelson Contrast 1.0
Weber Contrast 0.785
Mean Local Contrast 0.01
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.671
Shadow Percentage 39.147
Midtone Percentage 28.997
Highlight Percentage 31.856
Shadow Clipping 0.0
Highlight Clipping 0.002
Tonal Balance 0.0
Fine Contrast 0.004
Medium Contrast 0.013
Coarse Contrast 0.025
Multiscale Contrast Ratio 0.168
Edge Contrast 0.084
Contrast Clustering 0.71

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.799
Color Clustering 0.725
Color Transition Smoothness 0.78
Transition Uniformity 0.866
Sharp Transition Ratio 0.1
Transition Directionality 0.044
Mean Saturation 0.444
Saturation Variance 0.073
Low Saturation Ratio 0.384
Medium Saturation Ratio 0.424
High Saturation Ratio 0.192
Saturation Clustering 1.0
Hue Concentration 0.843
Complementary Balance 0.004
Analogous Dominance 0.904
Temperature Bias 0.887

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). F Major - Research on Harmony - Variation 5 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0759.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/f-major-research-on-harmony-variation-5_8fe.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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