AQC0698

Nanopublication — Computational Image Analysis - AQC0698

by Arnaud Quercy · C Octaves - Reflexions 23 · 2024

Claim 1: Computational Image Analysis - AQC0698

K-means clustering analysis [3] (10 colors) performed on artwork C Octaves [1] - Reflexions 23 (AQC0698) [2] by Arnaud Quercy [2] on 2025-12-02. 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]: 2237x2797 pixels. Analysis date: 2025-12-02.

Color Analysis

Rank Color Hex % Family Name
1 D08163 19.1 orange peru
2 898175 18.3 yellow-orange gray
3 2B221C 14.2 orange very dark gray
4 B66B52 11.9 orange indianred
5 45382F 9.2 orange darkslategray
6 E59472 7.7 orange darksalmon
7 6D5E54 6.4 orange dimgray
8 E44A24 5.1 red-orange chocolate
9 9F4629 4.3 orange burnt sienna
10 72341D 3.8 orange russet
11 8690A6 0.3 blue-violet lightslategray [Accent]

Color Families:

Family %
orange 76.5
yellow-orange 18.3
red-orange 5.1
blue-violet 0.3

Accent Colors:

Hex Family Name Chroma
8690A6 blue-violet lightslategray 13.0

Texture Analysis

Metric Value
Global Roughness 0.167
Mean Local Roughness 0.006
Roughness Uniformity 0.016
Edge Density 0.009
Mean Gradient Magnitude 0.041
Gradient Variance 0.021
Gradient Smoothness 0.0
Directional Coherence 0.341
Pattern Complexity 0.09
Pattern Repetition 1.0
Detail Frequency Ratio 0.64
Spatial Variation 0.124
Texture Consistency 0.57

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.432
Brightness Variance 0.167
Brightness Uniformity 0.613
Brightness Skewness -0.536
Brightness Entropy 6.921
Rms Contrast 0.167
Michelson Contrast 0.974
Weber Contrast 0.748
Mean Local Contrast 0.006
Contrast Uniformity 0.0
Dynamic Range 0.886
Effective Dynamic Range 0.518
Shadow Percentage 27.387
Midtone Percentage 70.004
Highlight Percentage 2.61
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.003
Medium Contrast 0.008
Coarse Contrast None
Multiscale Contrast Ratio 1.0
Edge Contrast 0.041
Contrast Clustering 0.43

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.698
Color Clustering 0.46
Color Transition Smoothness 0.883
Transition Uniformity 0.86
Sharp Transition Ratio 0.1
Transition Directionality 0.348
Mean Saturation 0.424
Saturation Variance 0.047
Low Saturation Ratio 0.327
Medium Saturation Ratio 0.557
High Saturation Ratio 0.116
Saturation Clustering 1.0
Hue Concentration 0.992
Complementary Balance 0.001
Analogous Dominance 0.999
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 Octaves - Reflexions 23 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0698.html

[2] Quercy, A. (2024). C Octaves - Reflexions 23 - Gallery. https://artquamanima.com/en/artworks/2024/01/c-octaves-reflexions-23_7ro.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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