AQC0482

Nanopublication — Computational Image Analysis - AQC0482

by Arnaud Quercy · Whispers of Solitude · 2023

Claim 1: Computational Image Analysis - AQC0482

The artwork Whispers [1] of Solitude (AQC0482) [2] by Arnaud Quercy [2] underwent comprehensive computational analysis [3] on 2025-12-15. 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]: 1466x2048 pixels. Analysis date: 2025-12-15.

Color Analysis

Rank Color Hex % Family Name
1 D0BAAC 15.3 orange silver
2 A78371 14.6 orange rosybrown
3 C09E8B 13 orange tan
4 8C6857 11.2 orange dimgray
5 E2D3C8 11.2 orange lightgray
6 6A270C 10.9 orange russet
7 471307 9 red-orange very dark red
8 624638 7.5 orange dark brown
9 904B27 5.5 orange burnt sienna
10 CC911F 1.8 yellow-orange goldenrod

Color Families:

Family %
orange 89.2
red-orange 9
yellow-orange 1.8

Texture Analysis

Metric Value
Detail Frequency Ratio 0.689
Directional Coherence 0.012
Edge Density 0.302
Global Roughness 0.233
Gradient Smoothness 0.116
Gradient Variance 0.122
Mean Gradient Magnitude 0.396
Mean Local Roughness 0.062
Pattern Complexity 0.13
Pattern Repetition 1
Roughness Uniformity 0.041
Spatial Variation 0.075
Texture Consistency 0.842

Brightness & Contrast Analysis

Metric Value
Brightness Entropy 7.756
Brightness Skewness -0.184
Brightness Uniformity 0.545
Brightness Variance 0.233
Coarse Contrast None
Contrast Clustering 0.158
Contrast Uniformity 0.392
Dynamic Range 1
Edge Contrast 0.396
Effective Dynamic Range 0.714
Fine Contrast 0.043
Highlight Clipping 0.005
Highlight Percentage 32.307
Mean Brightness 0.513
Mean Local Contrast 0.053
Medium Contrast 0.066
Michelson Contrast 1
Midtone Percentage 40.555
Multiscale Contrast Ratio 1
Rms Contrast 0.233
Shadow Clipping 0.013
Shadow Percentage 27.138
Tonal Balance 0.489
Weber Contrast 0.777

Spatial Distribution Analysis

Metric Value
Analogous Dominance 0.997
Color Clustering 0.676
Color Transition Smoothness 0
Complementary Balance 0.003
High Saturation Ratio 0.232
Hue Concentration 0.984
Low Saturation Ratio 0.445
Mean Saturation 0.428
Medium Saturation Ratio 0.323
Saturation Clustering 0.995
Saturation Variance 0.092
Sharp Transition Ratio 0.1
Spatial Coherence 0.671
Temperature Bias 0.994
Transition Directionality 0.011
Transition Uniformity 0.199

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). Whispers of Solitude — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0482.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2023/01/whispers-of-solitude_5fo.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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