AQC0516

Nanopublication — Computational Image Analysis - AQC0516

by Arnaud Quercy · Pause déjeuner sur un banc - Variation 1 · 2024

Claim 1: Computational Image Analysis - AQC0516

Analysis record [3]: Pause [1] déjeuner sur un banc - Variation 1 (AQC0516) [2] by Arnaud Quercy [2]. Method: k-means. Parameters: 10 colors. Metrics: color distribution, texture, brightness, spatial patterns. Completed: 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]: 2031x2843 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 B96940 15.2 orange peru
2 591208 14.0 red-orange very dark red
3 7B2A1D 11.0 red-orange russet
4 281910 10.4 orange very dark gray
5 482D25 10.1 red-orange darkslategray
6 B69E7F 10.1 yellow-orange rosybrown
7 D6C1A5 9.9 yellow-orange tan
8 9B4134 8.4 red-orange burnt sienna
9 E17403 5.9 orange chocolate
10 9A1E07 5.0 red-orange darkred
11 E5E0CF 0.3 yellow gainsboro [Accent]

Color Families:

Family %
red-orange 48.5
orange 31.5
yellow-orange 20.0
yellow 0.3

Accent Colors:

Hex Family Name Chroma
E5E0CF yellow gainsboro 9.1

Texture Analysis

Metric Value
Global Roughness 0.215
Mean Local Roughness 0.01
Roughness Uniformity 0.014
Edge Density 0.027
Mean Gradient Magnitude 0.095
Gradient Variance 0.028
Gradient Smoothness 0.0
Directional Coherence 0.085
Pattern Complexity 0.108
Pattern Repetition 1.0
Detail Frequency Ratio 0.591
Spatial Variation 0.157
Texture Consistency 0.48

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.372
Brightness Variance 0.215
Brightness Uniformity 0.421
Brightness Skewness 0.514
Brightness Entropy 7.418
Rms Contrast 0.215
Michelson Contrast 1.0
Weber Contrast 0.811
Mean Local Contrast 0.012
Contrast Uniformity 0.0
Dynamic Range 0.996
Effective Dynamic Range 0.659
Shadow Percentage 52.996
Midtone Percentage 33.882
Highlight Percentage 13.122
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.121
Fine Contrast 0.005
Medium Contrast 0.015
Coarse Contrast None
Multiscale Contrast Ratio 1.0
Edge Contrast 0.095
Contrast Clustering 0.52

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.796
Color Clustering 0.526
Color Transition Smoothness 0.746
Transition Uniformity 0.813
Sharp Transition Ratio 0.1
Transition Directionality 0.094
Mean Saturation 0.633
Saturation Variance 0.06
Low Saturation Ratio 0.117
Medium Saturation Ratio 0.484
High Saturation Ratio 0.4
Saturation Clustering 0.999
Hue Concentration 0.98
Complementary Balance 0.0
Analogous Dominance 1.0
Temperature Bias 1.0

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). Pause déjeuner sur un banc - Variation 1 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0516.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/pause-dejeuner-sur-un-banc-variation-1_5sw.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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