AQC0525

Nanopublication — Computational Image Analysis - AQC0525

Claim 1: Computational Image Analysis - AQC0525

K-means clustering analysis [3] (10 colors) performed on artwork D Major9 - Research [1] on Harmony - Variation 5 (AQC0525) [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]: 2624x3724 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 635E55 15.8 yellow-orange dimgray
2 E0B537 14.3 yellow-orange goldenrod
3 A3A06A 12.7 yellow ochre
4 CD9D2E 11.6 yellow-orange peru
5 302E2C 10.9 gray very dark gray
6 474541 8.9 gray darkslategray
7 B37628 8.0 orange darkgoldenrod
8 E4D0AA 7.9 yellow-orange wheat
9 C5B88A 7.0 yellow tan
10 DCE6E2 3.1 white white
11 200A03 0.3 red-orange very dark gray [Accent]
12 B1C1C2 0.3 blue-green silver [Accent]

Color Families:

Family %
yellow-orange 49.5
gray 19.8
yellow 19.6
orange 8.0
white 3.1
red-orange 0.3
blue-green 0.3

Accent Colors:

Hex Family Name Chroma
200A03 red-orange very dark gray 10.0
B1C1C2 blue-green silver 5.4

Texture Analysis

Metric Value
Global Roughness 0.21
Mean Local Roughness 0.022
Roughness Uniformity 0.027
Edge Density 0.097
Mean Gradient Magnitude 0.183
Gradient Variance 0.071
Gradient Smoothness 0.0
Directional Coherence 0.006
Pattern Complexity 0.111
Pattern Repetition 1.0
Detail Frequency Ratio 0.64
Spatial Variation 0.139
Texture Consistency 0.697

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.537
Brightness Variance 0.21
Brightness Uniformity 0.608
Brightness Skewness -0.264
Brightness Entropy 7.499
Rms Contrast 0.21
Michelson Contrast 1.0
Weber Contrast 0.721
Mean Local Contrast 0.024
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.659
Shadow Percentage 20.563
Midtone Percentage 46.173
Highlight Percentage 33.264
Shadow Clipping 0.004
Highlight Clipping 0.043
Tonal Balance 0.171
Fine Contrast 0.011
Medium Contrast 0.03
Coarse Contrast 0.048
Multiscale Contrast Ratio 0.236
Edge Contrast 0.183
Contrast Clustering 0.303

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.689
Color Clustering 0.645
Color Transition Smoothness 0.537
Transition Uniformity 0.545
Sharp Transition Ratio 0.1
Transition Directionality 0.007
Mean Saturation 0.386
Saturation Variance 0.089
Low Saturation Ratio 0.496
Medium Saturation Ratio 0.215
High Saturation Ratio 0.289
Saturation Clustering 0.999
Hue Concentration 0.984
Complementary Balance 0.0
Analogous Dominance 0.999
Temperature Bias 0.885

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). D Major9 - Research on Harmony - Variation 5 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0525.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/d-major9-research-on-harmony-variation-5_5we.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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