AQC0781

Nanopublication — Computational Image Analysis - AQC0781

by Arnaud Quercy · D Minor - Research on Harmony - Variation 4 · 2024

Claim 1: Computational Image Analysis - AQC0781

K-means clustering analysis [3] (10 colors) performed on artwork D Minor [1] - Research on Harmony - Variation 4 (AQC0781) [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]: 2262x3393 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 D67710 20.2 orange chocolate
2 833729 16.0 red-orange russet
3 D49F6B 11.7 orange darksalmon
4 CF8C3A 10.8 orange peru
5 9F4940 10.2 red-orange burnt sienna
6 A99F91 8.6 yellow-orange rosybrown
7 282123 8.5 gray very dark gray
8 8E8578 7.5 yellow-orange gray
9 3F3C40 3.6 gray dusty mauve
10 DABBA2 2.9 orange tan
11 B75770 0.3 red indianred [Accent]

Color Families:

Family %
orange 45.6
red-orange 26.3
yellow-orange 16.1
gray 12.1
red 0.3

Accent Colors:

Hex Family Name Chroma
B75770 red indianred 41.2

Texture Analysis

Metric Value
Global Roughness 0.172
Mean Local Roughness 0.011
Roughness Uniformity 0.011
Edge Density 0.036
Mean Gradient Magnitude 0.123
Gradient Variance 0.028
Gradient Smoothness 0.0
Directional Coherence 0.014
Pattern Complexity 0.11
Pattern Repetition 1.0
Detail Frequency Ratio 0.568
Spatial Variation 0.115
Texture Consistency 0.517

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.474
Brightness Variance 0.172
Brightness Uniformity 0.638
Brightness Skewness -0.48
Brightness Entropy 7.204
Rms Contrast 0.172
Michelson Contrast 1.0
Weber Contrast 0.676
Mean Local Contrast 0.015
Contrast Uniformity 0.001
Dynamic Range 0.996
Effective Dynamic Range 0.537
Shadow Percentage 25.225
Midtone Percentage 63.999
Highlight Percentage 10.776
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.005
Medium Contrast 0.018
Coarse Contrast 0.037
Multiscale Contrast Ratio 0.148
Edge Contrast 0.123
Contrast Clustering 0.483

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.77
Color Clustering 0.471
Color Transition Smoothness 0.677
Transition Uniformity 0.802
Sharp Transition Ratio 0.1
Transition Directionality 0.023
Mean Saturation 0.554
Saturation Variance 0.088
Low Saturation Ratio 0.273
Medium Saturation Ratio 0.38
High Saturation Ratio 0.347
Saturation Clustering 1.0
Hue Concentration 0.96
Complementary Balance 0.001
Analogous Dominance 0.992
Temperature Bias 0.986

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). D Minor - Research on Harmony - Variation 4 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0781.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/d-minor-research-on-harmony-variation-4_8ny.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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