AQC0818

Nanopublication — Computational Image Analysis - AQC0818

by Arnaud Quercy · C Major - Research on Harmony - Variation 11 · 2025

Claim 1: Computational Image Analysis - AQC0818

K-means clustering analysis [3] (10 colors) performed on artwork C Major [1] - Research on Harmony - Variation 11 (AQC0818) [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]: 2366x3154 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 E7AF92 23.8 orange burlywood
2 DB8E6B 19.3 orange darksalmon
3 E39D7B 17.1 orange lightsalmon
4 EEBDA5 14.6 orange lightpink
5 C68160 12.0 orange peru
6 B17152 6.6 orange indianred
7 DF732D 2.8 orange chocolate
8 C93A25 1.5 red-orange firebrick
9 3B1A0E 1.4 orange very dark orange
10 6D4432 0.9 orange russet
11 FFF2E2 0.3 yellow-orange white [Accent]

Color Families:

Family %
orange 98.5
red-orange 1.5
yellow-orange 0.3

Accent Colors:

Hex Family Name Chroma
FFF2E2 yellow-orange white 9.2

Texture Analysis

Metric Value
Global Roughness 0.117
Mean Local Roughness 0.01
Roughness Uniformity 0.013
Edge Density 0.022
Mean Gradient Magnitude 0.097
Gradient Variance 0.024
Gradient Smoothness 0.0
Directional Coherence 0.021
Pattern Complexity 0.112
Pattern Repetition 1.0
Detail Frequency Ratio 0.597
Spatial Variation 0.075
Texture Consistency 0.515

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.66
Brightness Variance 0.117
Brightness Uniformity 0.822
Brightness Skewness -1.676
Brightness Entropy 6.648
Rms Contrast 0.117
Michelson Contrast 0.969
Weber Contrast 0.318
Mean Local Contrast 0.012
Contrast Uniformity 0.0
Dynamic Range 0.98
Effective Dynamic Range 0.318
Shadow Percentage 2.196
Midtone Percentage 44.273
Highlight Percentage 53.531
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.005
Medium Contrast 0.015
Coarse Contrast 0.028
Multiscale Contrast Ratio 0.185
Edge Contrast 0.097
Contrast Clustering 0.485

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.759
Color Clustering 0.06
Color Transition Smoothness 0.756
Transition Uniformity 0.838
Sharp Transition Ratio 0.1
Transition Directionality 0.028
Mean Saturation 0.455
Saturation Variance 0.015
Low Saturation Ratio 0.054
Medium Saturation Ratio 0.895
High Saturation Ratio 0.05
Saturation Clustering 1.0
Hue Concentration 0.998
Complementary Balance 0.0
Analogous Dominance 1.0
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). C Major - Research on Harmony - Variation 11 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0818.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2025/01/c-major-research-on-harmony-variation-11_92c.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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