AQC0685

Nanopublication — Computational Image Analysis - AQC0685

by Arnaud Quercy · Ab Octaves - Reflexions 19 · 2024

Claim 1: Computational Image Analysis - AQC0685

K-means clustering analysis [3] (10 colors) performed on artwork Ab Octaves [1] - Reflexions 19 (AQC0685) [2] by Arnaud Quercy [2] on 2026-02-04. 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]: 2666x3555 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 C8CCCC 14.7 white lightgray
2 ACAEAB 14.4 gray steel gray
3 C2BDB5 12.4 yellow-orange silver
4 B3BFC4 12.1 blue lightsteelblue
5 707676 10.2 gray dimgray
6 848986 10.2 gray gray
7 D7DADB 9.9 white gainsboro
8 989C99 9.1 gray steel gray
9 5D6061 6.2 gray dimgrey
10 2F2D2C 0.8 gray very dark gray
11 80574B 0.3 red-orange dimgray [Accent]
12 5A4034 0.3 orange dark brown [Accent]

Color Families:

Family %
gray 50.9
white 24.6
yellow-orange 12.4
blue 12.1
red-orange 0.3
orange 0.3

Accent Colors:

Hex Family Name Chroma
80574B red-orange dimgray 20.5
5A4034 orange dark brown 15.0

Texture Analysis

Metric Value
Global Roughness 0.147
Mean Local Roughness 0.015
Roughness Uniformity 0.016
Edge Density 0.053
Mean Gradient Magnitude 0.134
Gradient Variance 0.03
Gradient Smoothness 0.0
Directional Coherence 0.005
Pattern Complexity 0.119
Pattern Repetition 1.0
Detail Frequency Ratio 0.61
Spatial Variation 0.105
Texture Consistency 0.675

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.663
Brightness Variance 0.147
Brightness Uniformity 0.778
Brightness Skewness -0.761
Brightness Entropy 7.05
Rms Contrast 0.147
Michelson Contrast 1.0
Weber Contrast 0.464
Mean Local Contrast 0.017
Contrast Uniformity 0.0
Dynamic Range 0.984
Effective Dynamic Range 0.455
Shadow Percentage 1.506
Midtone Percentage 38.55
Highlight Percentage 59.944
Shadow Clipping 0.001
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.008
Medium Contrast 0.021
Coarse Contrast 0.035
Multiscale Contrast Ratio 0.224
Edge Contrast 0.134
Contrast Clustering 0.325

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.681
Color Clustering 0.918
Color Transition Smoothness 0.664
Transition Uniformity 0.795
Sharp Transition Ratio 0.1
Transition Directionality 0.008
Mean Saturation 0.074
Saturation Variance 0.003
Low Saturation Ratio 0.992
Medium Saturation Ratio 0.008
High Saturation Ratio 0.0
Saturation Clustering 1.0
Hue Concentration 0.711
Complementary Balance 0.13
Analogous Dominance 0.864
Temperature Bias -0.736

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). Ab Octaves - Reflexions 19 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0685.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/ab-octaves-reflexions-19_7mm.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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