AQC0791

Nanopublication — Computational Image Analysis - AQC0791

by Arnaud Quercy · Bb Octaves - Reflexions 25 · 2024

Claim 1: Computational Image Analysis - AQC0791

The artwork Bb Octaves [1] - Reflexions 25 (AQC0791) [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]: 2334x3501 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 201E2B 21.4 violet very dark gray
2 735591 16.0 violet dusty mauve
3 674B76 12.9 red-violet dusty mauve
4 BFB8AA 9.5 yellow-orange silver
5 2F274C 8.9 violet very dark purple
6 CFC9BC 7.6 yellow-orange lightgray
7 ACA596 7.0 yellow-orange steel gray
8 8465A0 6.9 violet dusty mauve
9 BBB0E4 5.6 violet lightsteelblue
10 9E88D6 4.2 violet mediumpurple
11 887C45 0.3 yellow olivedrab [Accent]

Color Families:

Family %
violet 63.0
yellow-orange 24.1
red-violet 12.9
yellow 0.3

Accent Colors:

Hex Family Name Chroma
887C45 yellow olivedrab 31.1

Texture Analysis

Metric Value
Global Roughness 0.233
Mean Local Roughness 0.007
Roughness Uniformity 0.009
Edge Density 0.01
Mean Gradient Magnitude 0.083
Gradient Variance 0.018
Gradient Smoothness 0.0
Directional Coherence 0.034
Pattern Complexity 0.109
Pattern Repetition 1.0
Detail Frequency Ratio 0.557
Spatial Variation 0.203
Texture Consistency 0.531

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.424
Brightness Variance 0.233
Brightness Uniformity 0.45
Brightness Skewness 0.16
Brightness Entropy 7.183
Rms Contrast 0.233
Michelson Contrast 1.0
Weber Contrast 0.827
Mean Local Contrast 0.01
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.667
Shadow Percentage 33.062
Midtone Percentage 41.823
Highlight Percentage 25.116
Shadow Clipping 0.001
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.004
Medium Contrast 0.012
Coarse Contrast 0.026
Multiscale Contrast Ratio 0.148
Edge Contrast 0.083
Contrast Clustering 0.469

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.804
Color Clustering 0.878
Color Transition Smoothness 0.773
Transition Uniformity 0.871
Sharp Transition Ratio 0.1
Transition Directionality 0.044
Mean Saturation 0.302
Saturation Variance 0.021
Low Saturation Ratio 0.44
Medium Saturation Ratio 0.555
High Saturation Ratio 0.005
Saturation Clustering 1.0
Hue Concentration 0.957
Complementary Balance 0.003
Analogous Dominance 0.989
Temperature Bias 0.009

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). Bb Octaves - Reflexions 25 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0791.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/bb-octaves-reflexions-25_8ru.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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