AQC0608

Nanopublication — Computational Image Analysis - AQC0608

Claim 1: Computational Image Analysis - AQC0608

The artwork Ab Major [1] - Research on Harmony - Variation 1 (AQC0608) [2] by Arnaud Quercy [2] underwent comprehensive computational analysis [3] on 2026-02-08. 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]: 2598x3248 pixels. Analysis date: 2026-02-08.

Color Analysis

Rank Color Hex % Family Name
1 3F505F 22.5 blue grayish purple
2 2F404E 22.0 blue grayish purple
3 526271 16.5 blue-violet grayish purple
4 8980AE 9.1 violet dusty mauve
5 6B7985 8.1 blue-violet grayish purple
6 29204A 6.7 violet very dark purple
7 6D5B98 6.0 violet dusty mauve
8 A3A6C0 5.0 violet steel gray
9 C53219 2.5 red-orange firebrick
10 D0DAE2 1.6 blue gainsboro
11 FAF2E8 0.3 yellow-orange white [Accent]

Color Families:

Family %
blue 46.1
violet 26.8
blue-violet 24.6
red-orange 2.5
yellow-orange 0.3

Accent Colors:

Hex Family Name Chroma
FAF2E8 yellow-orange white 6.1

Texture Analysis

Metric Value
Global Roughness 0.147
Mean Local Roughness 0.062
Roughness Uniformity 0.041
Edge Density 0.291
Mean Gradient Magnitude 0.462
Gradient Variance 0.183
Gradient Smoothness 0.075
Directional Coherence 0.008
Pattern Complexity 0.162
Pattern Repetition 1.0
Detail Frequency Ratio 0.718
Spatial Variation 0.08
Texture Consistency 0.62

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.36
Brightness Variance 0.147
Brightness Uniformity 0.591
Brightness Skewness 1.134
Brightness Entropy 7.097
Rms Contrast 0.147
Michelson Contrast 1.0
Weber Contrast 0.627
Mean Local Contrast 0.07
Contrast Uniformity 0.359
Dynamic Range 1.0
Effective Dynamic Range 0.467
Shadow Percentage 50.455
Midtone Percentage 45.254
Highlight Percentage 4.291
Shadow Clipping 0.0
Highlight Clipping 0.02
Tonal Balance 0.0
Fine Contrast 0.031
Medium Contrast 0.084
Coarse Contrast 0.081
Multiscale Contrast Ratio 0.389
Edge Contrast 0.462
Contrast Clustering 0.38

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.709
Color Clustering 0.457
Color Transition Smoothness 0.0
Transition Uniformity 0.0
Sharp Transition Ratio 0.1
Transition Directionality 0.007
Mean Saturation 0.349
Saturation Variance 0.024
Low Saturation Ratio 0.345
Medium Saturation Ratio 0.62
High Saturation Ratio 0.035
Saturation Clustering 0.997
Hue Concentration 0.867
Complementary Balance 0.015
Analogous Dominance 0.966
Temperature Bias -0.68

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). Ab Major - Research on Harmony - Variation 1 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0608.html

[2] Quercy, A. (2024). Ab Major - Research on Harmony - Variation 1 - Gallery. https://artquamanima.com/en/artworks/2024/01/ab-major-research-on-harmony-variation-1_6so.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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