AQC0715

Nanopublication — Computational Image Analysis - AQC0715

by Arnaud Quercy · Bb Minor - Research on Harmony - Variation 6 · 2024

Claim 1: Computational Image Analysis - AQC0715

Analysis record [3]: Bb Minor [1] - Research on Harmony - Variation 6 (AQC0715) [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]: 2972x3963 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 A1263F 13.8 red-orange brown
2 CD3F54 13.8 red-orange indianred
3 EC808E 13.6 red lightcoral
4 5F2E29 13.4 red-orange russet
5 AEB3AE 10.3 gray steel gray
6 B3556C 9.5 red palevioletred
7 8E3D51 8.1 red burnt sienna
8 3A0F0D 7.4 red-orange very dark red
9 C7C5C2 6.0 white silver
10 8D9795 4.1 gray lightslategray
11 F4AB82 0.3 orange lightsalmon [Accent]

Color Families:

Family %
red-orange 48.4
red 31.2
gray 14.4
white 6.0
orange 0.3

Accent Colors:

Hex Family Name Chroma
F4AB82 orange lightsalmon 38.8

Texture Analysis

Metric Value
Global Roughness 0.195
Mean Local Roughness 0.022
Roughness Uniformity 0.017
Edge Density 0.121
Mean Gradient Magnitude 0.179
Gradient Variance 0.038
Gradient Smoothness 0.0
Directional Coherence 0.013
Pattern Complexity 0.126
Pattern Repetition 1.0
Detail Frequency Ratio 0.633
Spatial Variation 0.149
Texture Consistency 0.67

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.442
Brightness Variance 0.195
Brightness Uniformity 0.559
Brightness Skewness 0.129
Brightness Entropy 7.44
Rms Contrast 0.195
Michelson Contrast 1.0
Weber Contrast 0.709
Mean Local Contrast 0.024
Contrast Uniformity 0.231
Dynamic Range 1.0
Effective Dynamic Range 0.631
Shadow Percentage 33.895
Midtone Percentage 48.062
Highlight Percentage 18.044
Shadow Clipping 0.001
Highlight Clipping 0.001
Tonal Balance 0.196
Fine Contrast 0.011
Medium Contrast 0.03
Coarse Contrast 0.043
Multiscale Contrast Ratio 0.261
Edge Contrast 0.179
Contrast Clustering 0.33

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.776
Color Clustering 0.626
Color Transition Smoothness 0.563
Transition Uniformity 0.763
Sharp Transition Ratio 0.1
Transition Directionality 0.016
Mean Saturation 0.508
Saturation Variance 0.067
Low Saturation Ratio 0.206
Medium Saturation Ratio 0.538
High Saturation Ratio 0.257
Saturation Clustering 0.999
Hue Concentration 0.987
Complementary Balance 0.001
Analogous Dominance 0.999
Temperature Bias 0.999

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). Bb Minor - Research on Harmony - Variation 6 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0715.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/bb-minor-research-on-harmony-variation-6_7ya.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)

40aca1453117bb76c2d663b30826ea7ca49c3dea7dd90777d697d964764eb97b