AQC0767

Nanopublication — Computational Image Analysis - AQC0767

by Arnaud Quercy · A Minor - Research on Harmony - Variation 5 · 2024

Claim 1: Computational Image Analysis - AQC0767

K-means clustering analysis [3] (10 colors) performed on artwork A Minor [1] - Research on Harmony - Variation 5 (AQC0767) [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]: 2452x3679 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 C9A17C 13.5 orange tan
2 D9B1B5 12.9 red silver
3 8D877B 11.5 yellow-orange gray
4 AB2C30 11.3 red-orange brown
5 A39F96 10.9 yellow-orange steel gray
6 1F1A1E 10.4 gray very dark gray
7 C1815E 9.0 orange peru
8 754527 8.8 orange russet
9 956B2A 8.7 yellow-orange burnt sienna
10 CE992F 3.1 yellow-orange goldenrod
11 DBD195 0.3 yellow burlywood [Accent]

Color Families:

Family %
yellow-orange 34.2
orange 31.3
red 12.9
red-orange 11.3
gray 10.4
yellow 0.3

Accent Colors:

Hex Family Name Chroma
DBD195 yellow burlywood 31.6

Texture Analysis

Metric Value
Global Roughness 0.196
Mean Local Roughness 0.012
Roughness Uniformity 0.013
Edge Density 0.04
Mean Gradient Magnitude 0.132
Gradient Variance 0.038
Gradient Smoothness 0.0
Directional Coherence 0.017
Pattern Complexity 0.11
Pattern Repetition 1.0
Detail Frequency Ratio 0.569
Spatial Variation 0.084
Texture Consistency 0.615

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.5
Brightness Variance 0.196
Brightness Uniformity 0.607
Brightness Skewness -0.602
Brightness Entropy 7.42
Rms Contrast 0.196
Michelson Contrast 1.0
Weber Contrast 0.724
Mean Local Contrast 0.016
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.643
Shadow Percentage 21.525
Midtone Percentage 56.702
Highlight Percentage 21.774
Shadow Clipping 0.006
Highlight Clipping 0.0
Tonal Balance 0.13
Fine Contrast 0.006
Medium Contrast 0.019
Coarse Contrast 0.04
Multiscale Contrast Ratio 0.141
Edge Contrast 0.132
Contrast Clustering 0.385

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.704
Color Clustering 0.625
Color Transition Smoothness 0.656
Transition Uniformity 0.737
Sharp Transition Ratio 0.1
Transition Directionality 0.023
Mean Saturation 0.417
Saturation Variance 0.07
Low Saturation Ratio 0.418
Medium Saturation Ratio 0.339
High Saturation Ratio 0.243
Saturation Clustering 0.999
Hue Concentration 0.845
Complementary Balance 0.029
Analogous Dominance 0.93
Temperature Bias 0.904

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). A Minor - Research on Harmony - Variation 5 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0767.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/a-minor-research-on-harmony-variation-5_8ii.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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