AQC0941

Nanopublication — Computational Image Analysis - AQC0941

by Arnaud Quercy · D Octaves - Research on Harmony - Reflections 43 · 2025

Claim 1: Computational Image Analysis - AQC0941

K-means clustering analysis [3] (10 colors) performed on artwork D Octaves [1] - Research on Harmony - Reflections 43 (AQC0941) [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 [4]: 1989x2785 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 ECE0CA 26.0 yellow-orange bisque
2 ED8612 18.2 orange darkorange
3 1F1D1C 14.8 gray very dark gray
4 D3A36A 11.7 orange ochre
5 E4D5B8 10.8 yellow-orange wheat
6 D9DBDD 9.4 white gainsboro
7 DFB179 4.2 orange burlywood
8 EF9934 3.6 orange goldenrod
9 5A3E2B 0.7 orange dark brown
10 97845A 0.6 yellow-orange gray

Color Families:

Family %
orange 38.4
yellow-orange 37.4
gray 14.8
white 9.4

Texture Analysis

Metric Value
Global Roughness 0.258
Mean Local Roughness 0.01
Roughness Uniformity 0.017
Edge Density 0.008
Mean Gradient Magnitude 0.079
Gradient Variance 0.037
Gradient Smoothness 0.0
Directional Coherence 0.016
Pattern Complexity 0.116
Pattern Repetition 1.0
Detail Frequency Ratio 0.592
Spatial Variation 0.192
Texture Consistency 0.473

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.666
Brightness Variance 0.258
Brightness Uniformity 0.613
Brightness Skewness -1.218
Brightness Entropy 6.53
Rms Contrast 0.258
Michelson Contrast 1.0
Weber Contrast 0.863
Mean Local Contrast 0.011
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.792
Shadow Percentage 15.332
Midtone Percentage 24.68
Highlight Percentage 59.988
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.005
Medium Contrast 0.013
Coarse Contrast 0.023
Multiscale Contrast Ratio 0.215
Edge Contrast 0.079
Contrast Clustering 0.527

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.749
Color Clustering 0.625
Color Transition Smoothness 0.794
Transition Uniformity 0.742
Sharp Transition Ratio 0.1
Transition Directionality 0.019
Mean Saturation 0.354
Saturation Variance 0.106
Low Saturation Ratio 0.609
Medium Saturation Ratio 0.173
High Saturation Ratio 0.218
Saturation Clustering 1.0
Hue Concentration 0.996
Complementary Balance 0.0
Analogous Dominance 0.999
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 (2025). D Octaves - Research on Harmony - Reflections 43 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0941.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2025/12/d-octaves-research-on-harmony-reflections-43_1i3l.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

[4] Quercy, A. (2025). Digital Image Documentation - aqc0930_img_full_1934x2901_webp. https://multimodal.institute/en/nanopubs/images/2026/02/aqc0930_image-documentation_1i3t.html

Epistemic profile

Claim typecomputational analysis
Voicethird person
Epistemic statusempirical measurement
Methodologycomputational analysis
Certaintyhigh

Checksum (SHA-256)

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