AQC0443

Nanopublication — Computational Image Analysis - AQC0443

by Arnaud Quercy · The Dragon Breeder - Variation 1 · 2023

Claim 1: Computational Image Analysis - AQC0443

Analysis record [3]: The [1] Dragon Breeder - Variation 1 (AQC0443) [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]: 1536x2048 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 C9A58A 14.5 orange tan
2 999087 14.5 orange gray
3 5F2B20 12.3 red-orange russet
4 34120B 12.0 red-orange very dark red
5 8B4A3D 11.6 red-orange burnt sienna
6 6A6260 8.5 gray dimgray
7 C7634F 7.4 red-orange indianred
8 2E353F 6.8 blue-violet grayish purple
9 EDC7B1 6.8 orange wheat
10 B7963D 5.6 yellow-orange peru
11 837D3E 0.3 yellow olivedrab [Accent]

Color Families:

Family %
red-orange 43.3
orange 35.8
gray 8.5
blue-violet 6.8
yellow-orange 5.6
yellow 0.3

Accent Colors:

Hex Family Name Chroma
837D3E yellow olivedrab 35.7

Texture Analysis

Metric Value
Global Roughness 0.218
Mean Local Roughness 0.033
Roughness Uniformity 0.026
Edge Density 0.159
Mean Gradient Magnitude 0.228
Gradient Variance 0.057
Gradient Smoothness 0.0
Directional Coherence 0.008
Pattern Complexity 0.15
Pattern Repetition 1.0
Detail Frequency Ratio 0.66
Spatial Variation 0.111
Texture Consistency 0.805

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.438
Brightness Variance 0.218
Brightness Uniformity 0.502
Brightness Skewness 0.013
Brightness Entropy 7.689
Rms Contrast 0.218
Michelson Contrast 1.0
Weber Contrast 0.808
Mean Local Contrast 0.031
Contrast Uniformity 0.263
Dynamic Range 1.0
Effective Dynamic Range 0.678
Shadow Percentage 35.544
Midtone Percentage 47.938
Highlight Percentage 16.518
Shadow Clipping 0.007
Highlight Clipping 0.003
Tonal Balance 0.415
Fine Contrast 0.018
Medium Contrast 0.038
Coarse Contrast 0.044
Multiscale Contrast Ratio 0.419
Edge Contrast 0.228
Contrast Clustering 0.195

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.692
Color Clustering 0.737
Color Transition Smoothness 0.407
Transition Uniformity 0.628
Sharp Transition Ratio 0.1
Transition Directionality 0.008
Mean Saturation 0.425
Saturation Variance 0.077
Low Saturation Ratio 0.351
Medium Saturation Ratio 0.459
High Saturation Ratio 0.19
Saturation Clustering 0.998
Hue Concentration 0.892
Complementary Balance 0.043
Analogous Dominance 0.956
Temperature Bias 0.914

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 (2023). The Dragon Breeder - Variation 1 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0443.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2023/01/the-dragon-breeder-variation-1_50i.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)

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