AQC0559

Nanopublication — Computational Image Analysis - AQC0559

Claim 1: Computational Image Analysis - AQC0559

Computational image analysis [3] of artwork C Major9 - Research [1] on Harmony - Variation 11 (AQC0559) [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]: 1077x1436 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 DC948F 20.9 red-orange darksalmon
2 E15A47 19.9 red-orange indianred
3 696076 14.1 violet dusty mauve
4 7C7287 12.2 violet dusty mauve
5 524B66 10.9 violet dusty mauve
6 373354 8.3 violet dusty mauve
7 93899E 5.5 violet dusty mauve
8 1C1634 4.5 violet very dark purple
9 D9B8BE 2.3 red silver
10 AB6358 1.5 red-orange burnt sienna
11 000414 0.3 blue-violet black [Accent]
12 7A5A4D 0.3 orange dimgray [Accent]

Color Families:

Family %
violet 55.4
red-orange 42.3
red 2.3
blue-violet 0.3
orange 0.3

Accent Colors:

Hex Family Name Chroma
000414 blue-violet black 8.2
7A5A4D orange dimgray 17.0

Texture Analysis

Metric Value
Global Roughness 0.163
Mean Local Roughness 0.042
Roughness Uniformity 0.037
Edge Density 0.202
Mean Gradient Magnitude 0.341
Gradient Variance 0.133
Gradient Smoothness 0.0
Directional Coherence 0.035
Pattern Complexity 0.124
Pattern Repetition 1.0
Detail Frequency Ratio 0.678
Spatial Variation 0.12
Texture Consistency 0.7

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.466
Brightness Variance 0.163
Brightness Uniformity 0.649
Brightness Skewness -0.41
Brightness Entropy 7.122
Rms Contrast 0.163
Michelson Contrast 1.0
Weber Contrast 0.649
Mean Local Contrast 0.046
Contrast Uniformity 0.158
Dynamic Range 0.984
Effective Dynamic Range 0.518
Shadow Percentage 19.995
Midtone Percentage 67.108
Highlight Percentage 12.896
Shadow Clipping 0.004
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.022
Medium Contrast 0.056
Coarse Contrast 0.072
Multiscale Contrast Ratio 0.311
Edge Contrast 0.341
Contrast Clustering 0.3

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.738
Color Clustering 0.661
Color Transition Smoothness 0.081
Transition Uniformity 0.002
Sharp Transition Ratio 0.1
Transition Directionality 0.037
Mean Saturation 0.377
Saturation Variance 0.045
Low Saturation Ratio 0.392
Medium Saturation Ratio 0.534
High Saturation Ratio 0.074
Saturation Clustering 0.996
Hue Concentration 0.586
Complementary Balance 0.0
Analogous Dominance 0.657
Temperature Bias 0.476

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). C Major9 - Research on Harmony - Variation 11 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0559.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/c-major9-research-on-harmony-variation-11_69m.html

[3] Quercy, A. (2025). Computational Image Analysis Standard - MMIDS-CMP-2025 https://multimodal.institute/en/publications/2025/10/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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