AQC0789

Nanopublication — Computational Image Analysis - AQC0789

Claim 1: Computational Image Analysis - AQC0789

Analysis record [3]: Ab Major [1] - Research on Harmony - Variation 10 (AQC0789) [2] by Arnaud Quercy [2]. Method: k-means. Parameters: 10 colors. Metrics: color distribution, texture, brightness, spatial patterns. Completed: 2026-02-04.

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]: 2294x3440 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 97958A 17.5 yellow gray
2 8A72B6 15.8 violet mediumpurple
3 493D6B 13.8 violet dusty mauve
4 3884D7 12.7 blue-violet royalblue
5 1B1A2C 10.9 violet very dark gray
6 B9B2A7 8.9 yellow-orange steel gray
7 282B4E 8.3 violet very dark purple
8 4E9DE8 6.2 blue-violet cornflowerblue
9 595399 3.4 violet darkslateblue
10 AB3728 2.3 red-orange brown
11 DDC5DC 0.3 red-violet thistle [Accent]
12 856C5A 0.3 orange dimgray [Accent]
13 DCC5C7 0.3 red thistle [Accent]

Color Families:

Family %
violet 52.3
blue-violet 19.0
yellow 17.5
yellow-orange 8.9
red-orange 2.3
red-violet 0.3
orange 0.3
red 0.3

Accent Colors:

Hex Family Name Chroma
DDC5DC red-violet thistle 14.4
856C5A orange dimgray 15.7
DCC5C7 red thistle 8.2

Texture Analysis

Metric Value
Global Roughness 0.184
Mean Local Roughness 0.008
Roughness Uniformity 0.01
Edge Density 0.024
Mean Gradient Magnitude 0.09
Gradient Variance 0.021
Gradient Smoothness 0.0
Directional Coherence 0.04
Pattern Complexity 0.116
Pattern Repetition 1.0
Detail Frequency Ratio 0.565
Spatial Variation 0.147
Texture Consistency 0.631

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.427
Brightness Variance 0.184
Brightness Uniformity 0.569
Brightness Skewness -0.337
Brightness Entropy 7.168
Rms Contrast 0.184
Michelson Contrast 1.0
Weber Contrast 0.79
Mean Local Contrast 0.011
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.58
Shadow Percentage 33.758
Midtone Percentage 58.729
Highlight Percentage 7.513
Shadow Clipping 0.001
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.004
Medium Contrast 0.013
Coarse Contrast 0.027
Multiscale Contrast Ratio 0.152
Edge Contrast 0.09
Contrast Clustering 0.369

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.773
Color Clustering 0.579
Color Transition Smoothness 0.753
Transition Uniformity 0.84
Sharp Transition Ratio 0.1
Transition Directionality 0.049
Mean Saturation 0.404
Saturation Variance 0.053
Low Saturation Ratio 0.3
Medium Saturation Ratio 0.531
High Saturation Ratio 0.169
Saturation Clustering 1.0
Hue Concentration 0.863
Complementary Balance 0.004
Analogous Dominance 0.954
Temperature Bias -0.374

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 Major - Research on Harmony - Variation 10 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0789.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/ab-major-research-on-harmony-variation-10_8r2.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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