AQC0970

Nanopublication — Computational Image Analysis - AQC0970

Claim 1: Computational Image Analysis - AQC0970

K-means clustering analysis [3] (10 colors) performed on artwork Bb7sus (AQC0970) [2] by Arnaud Quercy [2] on 2026-03-05. 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]: 1502x2253 pixels. Analysis date: 2026-03-05.

Color Analysis

Rank Color Hex % Family Name
1 98ACEB 37.0 blue-violet lightsteelblue
2 E7E3D2 13.7 yellow gainsboro
3 8A6CA7 9.7 violet dusty mauve
4 CEBDDE 8.3 violet thistle
5 4579CC 7.5 blue-violet steelblue
6 0C0C13 6.6 black black
7 408548 4.9 yellow-green seagreen
8 62626C 4.5 violet dusty mauve
9 B6B98A 4.4 yellow-green tan
10 363845 3.3 blue-violet grayish purple
11 85A4B1 0.3 blue steel gray [Accent]
12 663663 0.3 red-violet dusty mauve [Accent]
13 D9CCA7 0.3 yellow-orange palegoldenrod [Accent]

Color Families:

Family %
blue-violet 47.8
violet 22.6
yellow 13.7
yellow-green 9.2
black 6.6
blue 0.3
red-violet 0.3
yellow-orange 0.3

Accent Colors:

Hex Family Name Chroma
85A4B1 blue steel gray 12.8
663663 red-violet dusty mauve 34.1
D9CCA7 yellow-orange palegoldenrod 20.0

Texture Analysis

Metric Value
Global Roughness 0.223
Mean Local Roughness 0.021
Roughness Uniformity 0.023
Edge Density 0.063
Mean Gradient Magnitude 0.171
Gradient Variance 0.072
Gradient Smoothness 0.0
Directional Coherence 0.015
Pattern Complexity 0.124
Pattern Repetition 1.0
Detail Frequency Ratio 0.621
Spatial Variation 0.144
Texture Consistency 0.695

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.6
Brightness Variance 0.223
Brightness Uniformity 0.628
Brightness Skewness -0.885
Brightness Entropy 7.274
Rms Contrast 0.223
Michelson Contrast 1.0
Weber Contrast 0.644
Mean Local Contrast 0.023
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.839
Shadow Percentage 10.62
Midtone Percentage 38.205
Highlight Percentage 51.175
Shadow Clipping 0.002
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.011
Medium Contrast 0.028
Coarse Contrast 0.045
Multiscale Contrast Ratio 0.241
Edge Contrast 0.171
Contrast Clustering 0.305

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.738
Color Clustering 0.762
Color Transition Smoothness 0.564
Transition Uniformity 0.509
Sharp Transition Ratio 0.1
Transition Directionality 0.015
Mean Saturation 0.324
Saturation Variance 0.029
Low Saturation Ratio 0.35
Medium Saturation Ratio 0.641
High Saturation Ratio 0.009
Saturation Clustering 0.999
Hue Concentration 0.749
Complementary Balance 0.037
Analogous Dominance 0.851
Temperature Bias -0.722

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 (2026). Bb7sus - Research on Harmony — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0970.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2026/03/bb7sus-research-on-harmony_1ypc.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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