AQC0644

Nanopublication — Computational Image Analysis - AQC0644

Claim 1: Computational Image Analysis - AQC0644

K-means clustering analysis [3] (10 colors) performed on artwork Ab Major [1] - Research on Harmony - Variation 4 (AQC0644) [2] by Arnaud Quercy [2] on 2026-02-04. Documentation includes: color families, texture roughness, brightness distribution, spatial coherence.

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]: 1687x2530 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 78A4B9 23.4 blue cadetblue
2 4C3339 19.7 red darkslategray
3 8FB6C8 10.4 blue lightsteelblue
4 A31B11 9.5 red-orange firebrick
5 5E444B 8.1 red darkslategrey
6 1F0F0A 7.5 red-orange black
7 6B2112 7.3 red-orange maroon
8 EECDB2 5.8 orange wheat
9 BC352B 4.2 red-orange brown
10 74737E 4.0 violet dusty mauve
11 4D70A5 0.3 blue-violet grayish purple [Accent]
12 B8D3DA 0.3 blue-green lightblue [Accent]

Color Families:

Family %
blue 33.8
red-orange 28.5
red 27.8
orange 5.8
violet 4.0
blue-violet 0.3
blue-green 0.3

Accent Colors:

Hex Family Name Chroma
4D70A5 blue-violet grayish purple 32.1
B8D3DA blue-green lightblue 10.0

Texture Analysis

Metric Value
Global Roughness 0.22
Mean Local Roughness 0.021
Roughness Uniformity 0.024
Edge Density 0.096
Mean Gradient Magnitude 0.178
Gradient Variance 0.065
Gradient Smoothness 0.0
Directional Coherence 0.011
Pattern Complexity 0.121
Pattern Repetition 1.0
Detail Frequency Ratio 0.629
Spatial Variation 0.157
Texture Consistency 0.38

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.411
Brightness Variance 0.22
Brightness Uniformity 0.464
Brightness Skewness 0.291
Brightness Entropy 7.176
Rms Contrast 0.22
Michelson Contrast 1.0
Weber Contrast 0.744
Mean Local Contrast 0.024
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.71
Shadow Percentage 51.558
Midtone Percentage 36.939
Highlight Percentage 11.503
Shadow Clipping 0.045
Highlight Clipping 0.005
Tonal Balance 0.0
Fine Contrast 0.011
Medium Contrast 0.03
Coarse Contrast 0.047
Multiscale Contrast Ratio 0.228
Edge Contrast 0.178
Contrast Clustering 0.62

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.785
Color Clustering 0.715
Color Transition Smoothness 0.54
Transition Uniformity 0.56
Sharp Transition Ratio 0.1
Transition Directionality 0.019
Mean Saturation 0.456
Saturation Variance 0.062
Low Saturation Ratio 0.245
Medium Saturation Ratio 0.516
High Saturation Ratio 0.239
Saturation Clustering 0.998
Hue Concentration 0.323
Complementary Balance 0.178
Analogous Dominance 0.646
Temperature Bias 0.295

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). Ab Major - Research on Harmony - Variation 4 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0644.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/ab-major-research-on-harmony-variation-4_76o.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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