AQC0464

Nanopublication — Computational Image Analysis - AQC0464

by Arnaud Quercy · New Mexico - The Three Sisters Legend · 2023

Claim 1: Computational Image Analysis - AQC0464

The artwork New [1] Mexico - The Three Sisters Legend (AQC0464) [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]: 1536x2048 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 E0AB62 17.2 yellow-orange sandybrown
2 D18E52 15.0 orange peru
3 E3BC8C 13.0 yellow-orange burlywood
4 5E220B 11.3 orange maroon
5 783B23 9.4 orange russet
6 E3CDB1 9.3 yellow-orange wheat
7 925742 9.2 orange burnt sienna
8 AD725F 8.2 red-orange indianred
9 E7E4D6 5.1 yellow white
10 DE4D36 2.2 red-orange chocolate

Color Families:

Family %
orange 44.9
yellow-orange 39.5
red-orange 10.5
yellow 5.1

Texture Analysis

Metric Value
Global Roughness 0.218
Mean Local Roughness 0.036
Roughness Uniformity 0.027
Edge Density 0.195
Mean Gradient Magnitude 0.242
Gradient Variance 0.062
Gradient Smoothness 0.0
Directional Coherence 0.009
Pattern Complexity 0.131
Pattern Repetition 1.0
Detail Frequency Ratio 0.677
Spatial Variation 0.154
Texture Consistency 0.49

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.573
Brightness Variance 0.218
Brightness Uniformity 0.62
Brightness Skewness -0.441
Brightness Entropy 7.591
Rms Contrast 0.218
Michelson Contrast 1.0
Weber Contrast 0.719
Mean Local Contrast 0.033
Contrast Uniformity 0.28
Dynamic Range 1.0
Effective Dynamic Range 0.671
Shadow Percentage 19.537
Midtone Percentage 37.484
Highlight Percentage 42.979
Shadow Clipping 0.002
Highlight Clipping 0.004
Tonal Balance 0.305
Fine Contrast 0.022
Medium Contrast 0.041
Coarse Contrast 0.049
Multiscale Contrast Ratio 0.458
Edge Contrast 0.242
Contrast Clustering 0.51

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.739
Color Clustering 0.54
Color Transition Smoothness 0.395
Transition Uniformity 0.596
Sharp Transition Ratio 0.1
Transition Directionality 0.013
Mean Saturation 0.527
Saturation Variance 0.051
Low Saturation Ratio 0.152
Medium Saturation Ratio 0.651
High Saturation Ratio 0.197
Saturation Clustering 0.998
Hue Concentration 0.984
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 (2023). New Mexico - The Three Sisters Legend — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0464.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2023/01/new-mexico-the-three-sisters-legend_58o.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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