AQC0693

Nanopublication — Computational Image Analysis - AQC0693

by Arnaud Quercy · B minor - Research on Harmony - Variation 1 · 2024

Claim 1: Computational Image Analysis - AQC0693

K-means clustering analysis [3] (10 colors) performed on artwork B minor - Research [1] on Harmony - Variation 1 (AQC0693) [2] by Arnaud Quercy [2] on 2026-02-04. Documentation includes: color families, texture roughness, brightness distribution, spatial coherence.

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]: 1767x2356 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 E59966 15.7 orange sandybrown
2 DD8B57 14.8 orange peru
3 8F8F27 14.0 yellow olivedrab
4 393122 11.5 yellow-orange darkslategray
5 949E38 11.4 yellow yellowgreen
6 D3B679 9.9 yellow-orange burlywood
7 C1733B 7.1 orange chocolate
8 C6871C 5.9 yellow-orange darkgoldenrod
9 594F2E 5.7 yellow-orange dark brown
10 BAAD5B 3.9 yellow ochre
11 73574F 0.3 red-orange dimgray [Accent]

Color Families:

Family %
orange 37.7
yellow-orange 33.0
yellow 29.3
red-orange 0.3

Accent Colors:

Hex Family Name Chroma
73574F red-orange dimgray 13.5

Texture Analysis

Metric Value
Global Roughness 0.159
Mean Local Roughness 0.01
Roughness Uniformity 0.023
Edge Density 0.013
Mean Gradient Magnitude 0.07
Gradient Variance 0.04
Gradient Smoothness 0.0
Directional Coherence 0.155
Pattern Complexity 0.108
Pattern Repetition 1.0
Detail Frequency Ratio 0.651
Spatial Variation 0.103
Texture Consistency 0.523

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.542
Brightness Variance 0.159
Brightness Uniformity 0.707
Brightness Skewness -1.115
Brightness Entropy 6.77
Rms Contrast 0.159
Michelson Contrast 1.0
Weber Contrast 0.676
Mean Local Contrast 0.01
Contrast Uniformity 0.0
Dynamic Range 0.984
Effective Dynamic Range 0.533
Shadow Percentage 15.675
Midtone Percentage 66.077
Highlight Percentage 18.248
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.005
Medium Contrast 0.013
Coarse Contrast None
Multiscale Contrast Ratio 1.0
Edge Contrast 0.07
Contrast Clustering 0.477

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.748
Color Clustering 0.409
Color Transition Smoothness 0.811
Transition Uniformity 0.727
Sharp Transition Ratio 0.1
Transition Directionality 0.179
Mean Saturation 0.587
Saturation Variance 0.021
Low Saturation Ratio 0.026
Medium Saturation Ratio 0.767
High Saturation Ratio 0.207
Saturation Clustering 0.999
Hue Concentration 0.959
Complementary Balance 0.0
Analogous Dominance 0.999
Temperature Bias 0.797

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). B minor - Research on Harmony - Variation 1 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0693.html

[2] Quercy, A. (2024). B minor - Research on Harmony - Variation 1 - Gallery. https://artquamanima.com/en/artworks/2024/01/b-minor-research-on-harmony-variation-1_7pq.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)

ad74e24bac4a4ab10fbef834a3e27a15831c5c4d925b0bb0816655ae5dd1b65d