AQC0540

Nanopublication — Computational Image Analysis - AQC0540

by Arnaud Quercy · Cat's playing with a yarn ball · 2024

Claim 1: Computational Image Analysis - AQC0540

K-means clustering analysis [3] (10 colors) performed on artwork Cat [1]'s playing with a yarn ball (AQC0540) [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]: 1154x1539 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 DAAC7C 28.3 orange burlywood
2 D4A371 27.2 orange darksalmon
3 DEB489 26.3 orange tan
4 5F8193 4.8 blue blue gray
5 4085B8 4.7 blue-violet grayish purple
6 999095 2.5 gray lightslategray
7 88AAC0 2.1 blue steel gray
8 625A56 1.6 gray dimgray
9 9D7B5E 1.5 orange gray
10 3C322E 1.0 orange darkslategray
11 18160D 0.3 yellow-orange black [Accent]
12 231311 0.3 red-orange black [Accent]

Color Families:

Family %
orange 84.3
blue 6.9
blue-violet 4.7
gray 4.1
yellow-orange 0.3
red-orange 0.3

Accent Colors:

Hex Family Name Chroma
18160D yellow-orange black 5.0
231311 red-orange black 9.8

Texture Analysis

Metric Value
Global Roughness 0.102
Mean Local Roughness 0.009
Roughness Uniformity 0.016
Edge Density 0.022
Mean Gradient Magnitude 0.077
Gradient Variance 0.034
Gradient Smoothness 0.0
Directional Coherence 0.118
Pattern Complexity 0.106
Pattern Repetition 1.0
Detail Frequency Ratio 0.595
Spatial Variation 0.046
Texture Consistency 0.56

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.667
Brightness Variance 0.102
Brightness Uniformity 0.848
Brightness Skewness -2.266
Brightness Entropy 5.717
Rms Contrast 0.102
Michelson Contrast 1.0
Weber Contrast 0.333
Mean Local Contrast 0.01
Contrast Uniformity 0.0
Dynamic Range 0.957
Effective Dynamic Range 0.302
Shadow Percentage 1.534
Midtone Percentage 20.012
Highlight Percentage 78.454
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.005
Medium Contrast 0.013
Coarse Contrast 0.025
Multiscale Contrast Ratio 0.184
Edge Contrast 0.077
Contrast Clustering 0.44

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.777
Color Clustering 0.366
Color Transition Smoothness 0.789
Transition Uniformity 0.768
Sharp Transition Ratio 0.1
Transition Directionality 0.132
Mean Saturation 0.42
Saturation Variance 0.009
Low Saturation Ratio 0.069
Medium Saturation Ratio 0.916
High Saturation Ratio 0.016
Saturation Clustering 1.0
Hue Concentration 0.756
Complementary Balance 0.098
Analogous Dominance 0.878
Temperature Bias 0.756

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). Cat's playing with a yarn ball — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0540.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/cats-playing-with-a-yarn-ball_628.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)

ab39240575e5702bc504827cd1a8c5fa99b816d8d06e4f3c2c014d020b7eafce