AQC0780

Nanopublication — Computational Image Analysis - AQC0780

Claim 1: Computational Image Analysis - AQC0780

The artwork D Major [1] - Research on Harmony - Variation 11 (AQC0780) [2] by Arnaud Quercy [2] underwent comprehensive computational analysis [3] on 2026-02-04. Method: k-means clustering with 10 colors extracted. Metrics documented: color distribution, texture analysis, brightness/contrast, spatial patterns.

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]: 2360x3540 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 222122 17.9 gray very dark gray
2 B58628 15.7 yellow-orange darkgoldenrod
3 CF7F15 15.4 orange chocolate
4 DB9D36 11.9 yellow-orange goldenrod
5 818476 11.4 yellow-green gray
6 A39886 7.8 yellow-orange rosybrown
7 976021 7.6 orange burnt sienna
8 3A5542 4.3 yellow-green darkslategray
9 D9BA9D 4.3 orange tan
10 A87E55 4.0 orange peru
11 210402 0.3 red-orange very dark gray [Accent]
12 716B3F 0.3 yellow dark brown [Accent]

Color Families:

Family %
yellow-orange 35.3
orange 31.2
gray 17.9
yellow-green 15.6
red-orange 0.3
yellow 0.3

Accent Colors:

Hex Family Name Chroma
210402 red-orange very dark gray 12.1
716B3F yellow dark brown 25.5

Texture Analysis

Metric Value
Global Roughness 0.183
Mean Local Roughness 0.012
Roughness Uniformity 0.012
Edge Density 0.04
Mean Gradient Magnitude 0.131
Gradient Variance 0.032
Gradient Smoothness 0.0
Directional Coherence 0.019
Pattern Complexity 0.106
Pattern Repetition 1.0
Detail Frequency Ratio 0.57
Spatial Variation 0.121
Texture Consistency 0.551

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.471
Brightness Variance 0.183
Brightness Uniformity 0.611
Brightness Skewness -0.852
Brightness Entropy 7.013
Rms Contrast 0.183
Michelson Contrast 1.0
Weber Contrast 0.794
Mean Local Contrast 0.016
Contrast Uniformity 0.022
Dynamic Range 1.0
Effective Dynamic Range 0.588
Shadow Percentage 21.658
Midtone Percentage 70.569
Highlight Percentage 7.773
Shadow Clipping 0.003
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.006
Medium Contrast 0.019
Coarse Contrast 0.038
Multiscale Contrast Ratio 0.148
Edge Contrast 0.131
Contrast Clustering 0.449

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.728
Color Clustering 0.445
Color Transition Smoothness 0.654
Transition Uniformity 0.773
Sharp Transition Ratio 0.1
Transition Directionality 0.021
Mean Saturation 0.525
Saturation Variance 0.103
Low Saturation Ratio 0.38
Medium Saturation Ratio 0.146
High Saturation Ratio 0.474
Saturation Clustering 0.999
Hue Concentration 0.876
Complementary Balance 0.023
Analogous Dominance 0.916
Temperature Bias 0.84

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 Major - Research on Harmony - Variation 11 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0780.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/d-major-research-on-harmony-variation-11_8nk.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)

82c8cbe1cbebdfc7aee80f13e2f878a0fd70b959dd3612954a3830843738f702