AQC0808

Nanopublication — Computational Image Analysis - AQC0808

by Arnaud Quercy · A Major - Research on Harmony - Variation 5 · 2025

Claim 1: Computational Image Analysis - AQC0808

The artwork A Major [1] - Research on Harmony - Variation 5 (AQC0808) [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]: 2407x3210 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 DEC8AE 22.6 yellow-orange wheat
2 CECEC6 13.0 white lightgray
3 BAA594 12.9 orange rosybrown
4 BEB9B0 12.7 yellow-orange silver
5 A09082 12.4 orange gray
6 D9B73C 7.0 yellow-orange goldenrod
7 191616 6.8 black black
8 322E2E 4.8 gray darkslategray
9 827569 4.6 orange grey
10 E4E3E0 3.3 white gainsboro
11 709591 0.3 green lightslategray [Accent]

Color Families:

Family %
yellow-orange 42.2
orange 29.9
white 16.4
black 6.8
gray 4.8
green 0.3

Accent Colors:

Hex Family Name Chroma
709591 green lightslategray 14.1

Texture Analysis

Metric Value
Global Roughness 0.214
Mean Local Roughness 0.016
Roughness Uniformity 0.02
Edge Density 0.063
Mean Gradient Magnitude 0.134
Gradient Variance 0.046
Gradient Smoothness 0.0
Directional Coherence 0.025
Pattern Complexity 0.116
Pattern Repetition 1.0
Detail Frequency Ratio 0.616
Spatial Variation 0.147
Texture Consistency 0.562

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.651
Brightness Variance 0.214
Brightness Uniformity 0.672
Brightness Skewness -1.571
Brightness Entropy 7.048
Rms Contrast 0.214
Michelson Contrast 1.0
Weber Contrast 0.768
Mean Local Contrast 0.017
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.729
Shadow Percentage 11.566
Midtone Percentage 24.393
Highlight Percentage 64.041
Shadow Clipping 0.01
Highlight Clipping 0.073
Tonal Balance 0.0
Fine Contrast 0.009
Medium Contrast 0.022
Coarse Contrast 0.036
Multiscale Contrast Ratio 0.245
Edge Contrast 0.134
Contrast Clustering 0.438

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.722
Color Clustering 0.746
Color Transition Smoothness 0.661
Transition Uniformity 0.697
Sharp Transition Ratio 0.1
Transition Directionality 0.033
Mean Saturation 0.204
Saturation Variance 0.031
Low Saturation Ratio 0.844
Medium Saturation Ratio 0.111
High Saturation Ratio 0.045
Saturation Clustering 0.999
Hue Concentration 0.891
Complementary Balance 0.039
Analogous Dominance 0.945
Temperature Bias 0.898

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 (2025). A Major - Research on Harmony - Variation 5 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0808.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2025/01/a-major-research-on-harmony-variation-5_8yg.html

[3] Quercy, A. (2025). Computational Image Analysis Standard - MMIDS-CMP-2025 https://multimodal.institute/en/publications/2025/10/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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