AQC0890

Nanopublication — Computational Image Analysis - AQC0890

Bb Major - Research on Harmony - Variations 7

Claim 1: Computational Image Analysis - AQC0890

The artwork Bb Major [1] - Research on Harmony - Variations 7 (AQC0890) [2] by Arnaud Quercy [2] underwent comprehensive computational analysis [3] on 2025-12-11. Method: k-means clustering with 10 colors extracted. Metrics documented: color distribution, texture analysis, brightness/contrast, spatial patterns.

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]: 1891x2837 pixels. Analysis date: 2025-12-11.

Color Analysis

Rank Color Hex % Family Name
1 D0AABC 18.7 red silver
2 B97CB9 18.2 red-violet orchid
3 C98BC9 11.7 red-violet plum
4 F08329 11.3 orange chocolate
5 C99388 10.0 red-orange rosybrown
6 AA70A4 9.7 red-violet dusty mauve
7 EAE1D8 6.9 orange gainsboro
8 5C4F4D 5.7 red-orange dimgray
9 E1AFDD 4.3 red-violet thistle
10 281317 3.4 red very dark gray
11 FEFEF0 0.3 yellow white [Accent]

Color Families:

Family %
red-violet 43.9
red 22.1
orange 18.2
red-orange 15.7
yellow 0.3

Accent Colors:

Hex Family Name Chroma
FEFEF0 yellow white 7.3

Texture Analysis

Metric Value
Global Roughness 0.158
Mean Local Roughness 0.032
Roughness Uniformity 0.033
Edge Density 0.173
Mean Gradient Magnitude 0.256
Gradient Variance 0.116
Gradient Smoothness 0.0
Directional Coherence 0.012
Pattern Complexity 0.119
Pattern Repetition 1.0
Detail Frequency Ratio 0.648
Spatial Variation 0.059
Texture Consistency 0.676

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.619
Brightness Variance 0.158
Brightness Uniformity 0.745
Brightness Skewness -1.2
Brightness Entropy 6.945
Rms Contrast 0.158
Michelson Contrast 1.0
Weber Contrast 0.371
Mean Local Contrast 0.035
Contrast Uniformity 0.023
Dynamic Range 1.0
Effective Dynamic Range 0.569
Shadow Percentage 6.405
Midtone Percentage 57.114
Highlight Percentage 36.481
Shadow Clipping 0.002
Highlight Clipping 0.003
Tonal Balance 0.0
Fine Contrast 0.018
Medium Contrast 0.043
Coarse Contrast 0.062
Multiscale Contrast Ratio 0.287
Edge Contrast 0.256
Contrast Clustering 0.324

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.704
Color Clustering 0.559
Color Transition Smoothness 0.361
Transition Uniformity 0.241
Sharp Transition Ratio 0.1
Transition Directionality 0.012
Mean Saturation 0.342
Saturation Variance 0.046
Low Saturation Ratio 0.453
Medium Saturation Ratio 0.421
High Saturation Ratio 0.126
Saturation Clustering 0.998
Hue Concentration 0.812
Complementary Balance 0.0
Analogous Dominance 0.827
Temperature Bias 0.749

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 - Variations 7 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0890.html
https://arnaudquercy.art/fr/catalogue-raisonne/AQC0890.html

[2] Quercy, A. (2025). Bb Major - Research on Harmony - Variations 7 - Gallery. https://artquamanima.com/en/artworks/2025/11/bb-major-research-on-harmony-variations-7_i6q.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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