AQC0416

Nanopublication — Computational Image Analysis - AQC0416

by Arnaud Quercy · A woman in her sundress · 2023

Claim 1: Computational Image Analysis - AQC0416

Computational image analysis [3] of artwork A woman in her sundress (AQC0416) [2] by Arnaud Quercy [2] using k-means clustering method with 10 color extraction parameters. Analysis includes color distribution, texture metrics, brightness/contrast measurements, and spatial pattern characterization. Analysis completed on 2026-02-04.

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]: 1536x2048 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 D18E53 13.1 orange peru
2 9B5340 13.1 red-orange burnt sienna
3 242B71 11.9 violet indigo
4 170E17 11.9 red-violet black
5 D6BB89 11.9 yellow-orange tan
6 C9BBCF 9.9 red-violet thistle
7 732E2D 9.2 red-orange russet
8 BC5567 7.4 red indianred
9 667D65 6.9 yellow-green dimgray
10 5960A8 4.7 violet steelblue
11 E4DBBE 0.3 yellow wheat [Accent]

Color Families:

Family %
red-orange 22.2
red-violet 21.8
violet 16.7
orange 13.1
yellow-orange 11.9
red 7.4
yellow-green 6.9
yellow 0.3

Accent Colors:

Hex Family Name Chroma
E4DBBE yellow wheat 15.1

Texture Analysis

Metric Value
Global Roughness 0.233
Mean Local Roughness 0.007
Roughness Uniformity 0.014
Edge Density 0.015
Mean Gradient Magnitude 0.072
Gradient Variance 0.034
Gradient Smoothness 0.0
Directional Coherence 0.112
Pattern Complexity 0.107
Pattern Repetition 1.0
Detail Frequency Ratio 0.568
Spatial Variation 0.082
Texture Consistency 0.766

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.437
Brightness Variance 0.233
Brightness Uniformity 0.467
Brightness Skewness -0.02
Brightness Entropy 7.679
Rms Contrast 0.233
Michelson Contrast 1.0
Weber Contrast 0.861
Mean Local Contrast 0.009
Contrast Uniformity 0.0
Dynamic Range 0.98
Effective Dynamic Range 0.741
Shadow Percentage 34.236
Midtone Percentage 44.864
Highlight Percentage 20.9
Shadow Clipping 0.003
Highlight Clipping 0.0
Tonal Balance 0.418
Fine Contrast 0.004
Medium Contrast 0.011
Coarse Contrast None
Multiscale Contrast Ratio 1.0
Edge Contrast 0.072
Contrast Clustering 0.234

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.667
Color Clustering 0.696
Color Transition Smoothness 0.779
Transition Uniformity 0.744
Sharp Transition Ratio 0.1
Transition Directionality 0.111
Mean Saturation 0.507
Saturation Variance 0.041
Low Saturation Ratio 0.176
Medium Saturation Ratio 0.63
High Saturation Ratio 0.194
Saturation Clustering 0.999
Hue Concentration 0.464
Complementary Balance 0.088
Analogous Dominance 0.62
Temperature Bias 0.49

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 (2023). A woman in her sundress — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0416.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2023/01/a-woman-in-her-sundress_4q0.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)

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