AQC0732 | NAN-COL000222

Nanopublication — Computational Image Analysis - AQC0732

E Major - Research on Harmony - Variation 3

Claim 1: Computational Image Analysis - AQC0732

K-means clustering (10 colors) performed on artwork E Major - Research on Harmony - Variation 3 (AQC0732) [1] by Arnaud Quercy [2] on 2025-10-03, according to IDS-CMP-2025 [3]. Documentation includes: color families, texture roughness, brightness distribution, spatial coherence.

Context

Analysis performed according to IDS-CMP-2025 [3] includes four metric categories: (a) Color distribution via k-means (10 colors), (b) Texture analysis using Haralick features, (c) Brightness and contrast measurements, (d) Spatial pattern characterization. Source image: 3024x4032 pixels. Analysis date: 2025-10-03.

A) Color Analysis

Rank Color Hex % Family Name
1 E6B77F 27.5 orange burlywood
2 3883D3 18.2 blue-violet royalblue
3 10234B 14.8 violet very dark purple
4 9EA9B9 12.0 blue-violet steel gray
5 E2C09F 10.3 orange tan
6 AD9F8B 8.9 yellow-orange rosybrown
7 124797 3.6 violet darkslateblue
8 141324 2.6 violet very dark gray
9 948E4B 1.2 yellow olivedrab
10 575E29 0.8 yellow-green dark brown
11 6590A4 0.3 blue cadetblue [Accent]
12 522D2E 0.3 red-orange darkslategray [Accent]
13 483637 0.3 red darkslategray [Accent]
14 406D63 0.3 green seagreen [Accent]
15 3D3138 0.3 red-violet dusty mauve [Accent]

Color Families:

Family %
orange 37.9
blue-violet 30.2
violet 21.0
yellow-orange 8.9
yellow 1.2
yellow-green 0.8
blue 0.3
red-orange 0.3
red 0.3
green 0.3
red-violet 0.3

Accent Colors:

Hex Family Name Chroma
6590A4 blue cadetblue 17.5
522D2E red-orange darkslategray 18.4
483637 red darkslategray 8.2
406D63 green seagreen 18.0
3D3138 red-violet dusty mauve 7.3

B) Texture Analysis

Metric Value
Global Roughness 0.235
Mean Local Roughness 0.007
Roughness Uniformity 0.008
Edge Density 0.005
Mean Gradient Magnitude 0.055
Gradient Variance 0.01
Gradient Smoothness 0.0
Directional Coherence 0.083
Pattern Complexity 0.117
Pattern Repetition 1.0
Detail Frequency Ratio 0.586
Spatial Variation 0.193
Texture Consistency 0.307

C) Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.548
Brightness Variance 0.235
Brightness Uniformity 0.572
Brightness Skewness -0.797
Brightness Entropy 6.832
Rms Contrast 0.235
Michelson Contrast 1.0
Weber Contrast 0.827
Mean Local Contrast 0.007
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.667
Shadow Percentage 21.103
Midtone Percentage 35.402
Highlight Percentage 43.494
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.004
Medium Contrast 0.009
Coarse Contrast None
Multiscale Contrast Ratio 1.0
Edge Contrast 0.055
Contrast Clustering 0.693

D) Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.819
Color Clustering 0.64
Color Transition Smoothness 0.849
Transition Uniformity 0.927
Sharp Transition Ratio 0.1
Transition Directionality 0.111
Mean Saturation 0.496
Saturation Variance 0.06
Low Saturation Ratio 0.291
Medium Saturation Ratio 0.371
High Saturation Ratio 0.339
Saturation Clustering 1.0
Hue Concentration 0.077
Complementary Balance 0.327
Analogous Dominance 0.53
Temperature Bias 0.071

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 Ideamorphic Studies' computational imaging systems.

References

  1. [1] Quercy, A. (2024). E Major - Research on Harmony - Variation 3 - Catalogue Raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0732.html
  2. [2] Quercy, A. (2025). ORCID https://orcid.org/0009-0000-2662-7790
  3. [3] Quercy, A. (2026). Computational Image Analysis Standard. https://ideamorphism.org/en/measurements/2025/09/ids-cmp-2025-computational-image-analysis-standard-5dq9.html

Epistemic profile

Claim typecomputational analysis
Voicethird person
Epistemic statusempirical measurement
Methodologycomputational analysis
Certaintyhigh

Checksum (SHA-256)

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