AQC0849

Nanopublication — Computational Image Analysis - AQC0849

by Arnaud Quercy · Bb Major - Research on Harmony - Variation 6 · 2025

Claim 1: Computational Image Analysis - AQC0849

Analysis record [3]: Bb Major [1] - Research on Harmony - Variation 6 (AQC0849) [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]: 2279x3039 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 ED9E1E 21.8 orange goldenrod
2 E4CDD4 17.2 red lightgray
3 CEB5CD 14.3 red-violet thistle
4 8C6EBF 11.9 violet mediumpurple
5 7156A7 9.9 violet slateblue
6 AA8DD1 8.8 violet steel gray
7 513A81 6.3 violet darkslateblue
8 CC939D 4.0 red rosybrown
9 47322E 3.1 red-orange darkslategray
10 B26973 2.7 red indianred
11 C79036 0.3 yellow-orange peru [Accent]

Color Families:

Family %
violet 36.9
red 23.8
orange 21.8
red-violet 14.3
red-orange 3.1
yellow-orange 0.3

Accent Colors:

Hex Family Name Chroma
C79036 yellow-orange peru 55.3

Texture Analysis

Metric Value
Global Roughness 0.174
Mean Local Roughness 0.014
Roughness Uniformity 0.013
Edge Density 0.062
Mean Gradient Magnitude 0.124
Gradient Variance 0.02
Gradient Smoothness 0.0
Directional Coherence 0.029
Pattern Complexity 0.119
Pattern Repetition 1.0
Detail Frequency Ratio 0.616
Spatial Variation 0.127
Texture Consistency 0.506

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.615
Brightness Variance 0.174
Brightness Uniformity 0.716
Brightness Skewness -0.57
Brightness Entropy 7.327
Rms Contrast 0.174
Michelson Contrast 0.992
Weber Contrast 0.569
Mean Local Contrast 0.016
Contrast Uniformity 0.169
Dynamic Range 0.996
Effective Dynamic Range 0.573
Shadow Percentage 8.192
Midtone Percentage 49.241
Highlight Percentage 42.567
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.057
Fine Contrast 0.007
Medium Contrast 0.019
Coarse Contrast 0.031
Multiscale Contrast Ratio 0.235
Edge Contrast 0.124
Contrast Clustering 0.494

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.76
Color Clustering 0.561
Color Transition Smoothness 0.682
Transition Uniformity 0.869
Sharp Transition Ratio 0.1
Transition Directionality 0.03
Mean Saturation 0.429
Saturation Variance 0.079
Low Saturation Ratio 0.374
Medium Saturation Ratio 0.403
High Saturation Ratio 0.223
Saturation Clustering 1.0
Hue Concentration 0.481
Complementary Balance 0.0
Analogous Dominance 0.582
Temperature Bias 0.445

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 (2025). Bb Major - Research on Harmony - Variation 6 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0849.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2025/01/bb-major-research-on-harmony-variation-6_9ee.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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