AQC0817

Nanopublication — Computational Image Analysis - AQC0817

by Arnaud Quercy · C Major - Research on Harmony - Variation 9 · 2025

Claim 1: Computational Image Analysis - AQC0817

K-means clustering analysis [3] (10 colors) performed on artwork C Major [1] - Research on Harmony - Variation 9 (AQC0817) [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]: 2376x3168 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 E3A99E 23.8 red-orange tan
2 EEB9AF 15.8 red-orange lightpink
3 D5D2C6 12.9 yellow lightgray
4 D3958B 12.8 red-orange rosybrown
5 B5877E 11.3 red-orange palevioletred
6 C4C0B6 9.3 yellow-orange silver
7 A16C68 5.9 red-orange gray
8 221518 5.0 red black
9 DC7045 1.7 orange peru
10 5A423E 1.4 red-orange dark brown

Color Families:

Family %
red-orange 71.1
yellow 12.9
yellow-orange 9.3
red 5.0
orange 1.7

Texture Analysis

Metric Value
Global Roughness 0.171
Mean Local Roughness 0.019
Roughness Uniformity 0.019
Edge Density 0.08
Mean Gradient Magnitude 0.155
Gradient Variance 0.043
Gradient Smoothness 0.0
Directional Coherence 0.007
Pattern Complexity 0.114
Pattern Repetition 1.0
Detail Frequency Ratio 0.623
Spatial Variation 0.098
Texture Consistency 0.621

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.672
Brightness Variance 0.171
Brightness Uniformity 0.746
Brightness Skewness -2.022
Brightness Entropy 6.847
Rms Contrast 0.171
Michelson Contrast 1.0
Weber Contrast 0.389
Mean Local Contrast 0.02
Contrast Uniformity 0.071
Dynamic Range 1.0
Effective Dynamic Range 0.643
Shadow Percentage 6.044
Midtone Percentage 26.782
Highlight Percentage 67.174
Shadow Clipping 0.008
Highlight Clipping 0.002
Tonal Balance 0.0
Fine Contrast 0.01
Medium Contrast 0.026
Coarse Contrast 0.04
Multiscale Contrast Ratio 0.248
Edge Contrast 0.155
Contrast Clustering 0.379

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.709
Color Clustering 0.559
Color Transition Smoothness 0.613
Transition Uniformity 0.711
Sharp Transition Ratio 0.1
Transition Directionality 0.013
Mean Saturation 0.265
Saturation Variance 0.018
Low Saturation Ratio 0.598
Medium Saturation Ratio 0.392
High Saturation Ratio 0.01
Saturation Clustering 0.999
Hue Concentration 0.986
Complementary Balance 0.0
Analogous Dominance 0.998
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 9 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0817.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2025/01/c-major-research-on-harmony-variation-9_91y.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)

b1818712c95faaffe1b64e607345c90596b7b50772f47964edf97716c5084d0c