AQC0607

Nanopublication — Computational Image Analysis - AQC0607

by Arnaud Quercy · Ab minor - Research on Harmony · 2024

Claim 1: Computational Image Analysis - AQC0607

K-means clustering analysis [3] (10 colors) performed on artwork Ab minor - Research [1] on Harmony (AQC0607) [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]: 2650x3534 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 77777C 33.0 gray dusty mauve
2 3E294C 15.6 violet dusty mauve
3 969394 12.4 gray lightslategray
4 666368 11.4 gray dusty mauve
5 C2BDB7 9.0 gray silver
6 75BB09 6.4 yellow-green olivedrab
7 ECEAE5 5.3 white white
8 78D74F 3.8 yellow-green yellowgreen
9 AFEA16 1.6 yellow-green greenyellow
10 E1ED6C 1.5 yellow khaki
11 ECCDB3 0.3 orange wheat [Accent]
12 663666 0.3 red-violet dusty mauve [Accent]
13 3E301B 0.3 yellow-orange darkslategray [Accent]

Color Families:

Family %
gray 65.9
violet 15.6
yellow-green 11.8
white 5.3
yellow 1.5
orange 0.3
red-violet 0.3
yellow-orange 0.3

Accent Colors:

Hex Family Name Chroma
ECCDB3 orange wheat 18.4
663666 red-violet dusty mauve 34.7
3E301B yellow-orange darkslategray 16.3

Texture Analysis

Metric Value
Global Roughness 0.197
Mean Local Roughness 0.047
Roughness Uniformity 0.049
Edge Density 0.153
Mean Gradient Magnitude 0.348
Gradient Variance 0.217
Gradient Smoothness 0.0
Directional Coherence 0.034
Pattern Complexity 0.123
Pattern Repetition 1.0
Detail Frequency Ratio 0.674
Spatial Variation 0.128
Texture Consistency 0.628

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.508
Brightness Variance 0.197
Brightness Uniformity 0.613
Brightness Skewness 0.298
Brightness Entropy 7.359
Rms Contrast 0.197
Michelson Contrast 1.0
Weber Contrast 0.724
Mean Local Contrast 0.049
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.694
Shadow Percentage 16.957
Midtone Percentage 62.912
Highlight Percentage 20.13
Shadow Clipping 0.002
Highlight Clipping 0.6
Tonal Balance 0.0
Fine Contrast 0.029
Medium Contrast 0.061
Coarse Contrast 0.087
Multiscale Contrast Ratio 0.334
Edge Contrast 0.348
Contrast Clustering 0.372

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.77
Color Clustering 0.281
Color Transition Smoothness 0.125
Transition Uniformity 0.0
Sharp Transition Ratio 0.1
Transition Directionality 0.039
Mean Saturation 0.231
Saturation Variance 0.083
Low Saturation Ratio 0.694
Medium Saturation Ratio 0.222
High Saturation Ratio 0.084
Saturation Clustering 0.999
Hue Concentration 0.155
Complementary Balance 0.082
Analogous Dominance 0.498
Temperature Bias 0.08

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 minor - Research on Harmony — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0607.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/ab-minor-research-on-harmony_6sa.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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