AQC0446

Nanopublication — Computational Image Analysis - AQC0446

by Arnaud Quercy · Musing · 2023

Claim 1: Computational Image Analysis - AQC0446

The artwork Musing [1] (AQC0446) [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]: 1536x2048 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 C7AF9A 16.4 orange tan
2 D7C0AC 15.8 orange silver
3 B59E8A 13.8 orange rosybrown
4 A18B77 10.0 orange gray
5 E3D2C2 9.0 orange lightgray
6 443120 8.0 orange darkslategray
7 8A7562 7.5 orange grey
8 5A4735 7.1 orange dark brown
9 725E4B 6.7 orange dimgray
10 2C1A0B 5.6 orange very dark gray
11 FCF1DE 0.3 yellow-orange cornsilk [Accent]
12 F4F1E5 0.3 yellow white [Accent]

Color Families:

Family %
orange 100.0
yellow-orange 0.3
yellow 0.3

Accent Colors:

Hex Family Name Chroma
FCF1DE yellow-orange cornsilk 10.0
F4F1E5 yellow white 6.1

Texture Analysis

Metric Value
Global Roughness 0.22
Mean Local Roughness 0.04
Roughness Uniformity 0.026
Edge Density 0.239
Mean Gradient Magnitude 0.332
Gradient Variance 0.083
Gradient Smoothness 0.13
Directional Coherence 0.007
Pattern Complexity 0.124
Pattern Repetition 1.0
Detail Frequency Ratio 0.642
Spatial Variation 0.113
Texture Consistency 0.738

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.566
Brightness Variance 0.22
Brightness Uniformity 0.612
Brightness Skewness -0.642
Brightness Entropy 7.546
Rms Contrast 0.22
Michelson Contrast 1.0
Weber Contrast 0.737
Mean Local Contrast 0.043
Contrast Uniformity 0.414
Dynamic Range 0.996
Effective Dynamic Range 0.678
Shadow Percentage 20.103
Midtone Percentage 36.251
Highlight Percentage 43.647
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.232
Fine Contrast 0.022
Medium Contrast 0.054
Coarse Contrast 0.076
Multiscale Contrast Ratio 0.288
Edge Contrast 0.332
Contrast Clustering 0.262

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.661
Color Clustering 0.898
Color Transition Smoothness 0.153
Transition Uniformity 0.446
Sharp Transition Ratio 0.1
Transition Directionality 0.008
Mean Saturation 0.299
Saturation Variance 0.028
Low Saturation Ratio 0.649
Medium Saturation Ratio 0.31
High Saturation Ratio 0.041
Saturation Clustering 0.998
Hue Concentration 0.999
Complementary Balance 0.0
Analogous Dominance 1.0
Temperature Bias 1.0

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 (2023). Musing — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0446.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2023/01/musing_51o.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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