AQC0766

Nanopublication — Computational Image Analysis - AQC0766

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

Claim 1: Computational Image Analysis - AQC0766

K-means clustering analysis [3] (10 colors) performed on artwork A Minor [1] - Research on Harmony - Variation 4 (AQC0766) [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]: 2433x3650 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 981D2B 15.2 red-orange brown
2 A19A89 15.1 yellow rosybrown
3 B8B1A4 13.0 yellow-orange steel gray
4 1F1E24 12.1 violet very dark gray
5 8F8674 12.0 yellow-orange gray
6 C49B72 8.2 orange ochre
7 AD822D 7.5 yellow-orange darkgoldenrod
8 DCB494 7.3 orange tan
9 DAD2CA 5.2 yellow-orange lightgray
10 554035 4.4 orange dark brown
11 160102 0.3 red black [Accent]

Color Families:

Family %
yellow-orange 37.7
orange 19.9
red-orange 15.2
yellow 15.1
violet 12.1
red 0.3

Accent Colors:

Hex Family Name Chroma
160102 red black 8.2

Texture Analysis

Metric Value
Global Roughness 0.219
Mean Local Roughness 0.013
Roughness Uniformity 0.012
Edge Density 0.055
Mean Gradient Magnitude 0.144
Gradient Variance 0.036
Gradient Smoothness 0.0
Directional Coherence 0.016
Pattern Complexity 0.107
Pattern Repetition 1.0
Detail Frequency Ratio 0.569
Spatial Variation 0.126
Texture Consistency 0.56

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.503
Brightness Variance 0.219
Brightness Uniformity 0.565
Brightness Skewness -0.491
Brightness Entropy 7.437
Rms Contrast 0.219
Michelson Contrast 1.0
Weber Contrast 0.774
Mean Local Contrast 0.017
Contrast Uniformity 0.045
Dynamic Range 1.0
Effective Dynamic Range 0.667
Shadow Percentage 29.946
Midtone Percentage 43.8
Highlight Percentage 26.254
Shadow Clipping 0.008
Highlight Clipping 0.006
Tonal Balance 0.123
Fine Contrast 0.006
Medium Contrast 0.021
Coarse Contrast 0.042
Multiscale Contrast Ratio 0.144
Edge Contrast 0.144
Contrast Clustering 0.44

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.738
Color Clustering 0.68
Color Transition Smoothness 0.627
Transition Uniformity 0.74
Sharp Transition Ratio 0.1
Transition Directionality 0.019
Mean Saturation 0.36
Saturation Variance 0.077
Low Saturation Ratio 0.562
Medium Saturation Ratio 0.219
High Saturation Ratio 0.219
Saturation Clustering 0.999
Hue Concentration 0.665
Complementary Balance 0.13
Analogous Dominance 0.843
Temperature Bias 0.693

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 4 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0766.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/a-minor-research-on-harmony-variation-4_8i4.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)

1b3b6d268b36e1ebc7751ee23e1e98340716f065778e086a9daf8581d64ff5df