AQC0513

Nanopublication — Computational Image Analysis - AQC0513

by Arnaud Quercy · Tango Giro · 2024

Claim 1: Computational Image Analysis - AQC0513

The artwork Tango [1] Giro (AQC0513) [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]: 1153x1730 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 E76168 19.6 red-orange indianred
2 FAE4CC 18.2 orange blanchedalmond
3 5F5356 10.8 red dimgray
4 743436 10.0 red-orange russet
5 FCF1E7 9.7 orange white
6 8F6B70 8.7 red gray
7 F49E85 8.4 red-orange lightsalmon
8 CE3D45 6.5 red-orange crimson
9 27191B 4.0 red-orange very dark gray
10 FA7732 4.0 orange tomato
11 90689E 0.3 red-violet dusty mauve [Accent]

Color Families:

Family %
red-orange 48.6
orange 31.9
red 19.5
red-violet 0.3

Accent Colors:

Hex Family Name Chroma
90689E red-violet dusty mauve 34.7

Texture Analysis

Metric Value
Global Roughness 0.252
Mean Local Roughness 0.022
Roughness Uniformity 0.033
Edge Density 0.08
Mean Gradient Magnitude 0.156
Gradient Variance 0.102
Gradient Smoothness 0.0
Directional Coherence 0.191
Pattern Complexity 0.126
Pattern Repetition 1.0
Detail Frequency Ratio 0.626
Spatial Variation 0.162
Texture Consistency 0.704

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.586
Brightness Variance 0.252
Brightness Uniformity 0.571
Brightness Skewness 0.099
Brightness Entropy 7.299
Rms Contrast 0.252
Michelson Contrast 1.0
Weber Contrast 0.703
Mean Local Contrast 0.022
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.725
Shadow Percentage 17.083
Midtone Percentage 47.52
Highlight Percentage 35.397
Shadow Clipping 0.059
Highlight Clipping 0.027
Tonal Balance 0.0
Fine Contrast 0.013
Medium Contrast 0.028
Coarse Contrast None
Multiscale Contrast Ratio 1.0
Edge Contrast 0.156
Contrast Clustering 0.296

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.75
Color Clustering 0.567
Color Transition Smoothness 0.58
Transition Uniformity 0.316
Sharp Transition Ratio 0.1
Transition Directionality 0.18
Mean Saturation 0.378
Saturation Variance 0.059
Low Saturation Ratio 0.437
Medium Saturation Ratio 0.473
High Saturation Ratio 0.09
Saturation Clustering 0.998
Hue Concentration 0.971
Complementary Balance 0.001
Analogous Dominance 0.993
Temperature Bias 0.994

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). Tango Giro — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0513.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/tango-giro_5rq.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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