AQC0502

Nanopublication — Computational Image Analysis - AQC0502

by Arnaud Quercy · Lydian Dance - Modal Composition No 2 · 2023

Claim 1: Computational Image Analysis - AQC0502

Analysis record [3]: Lydian [1] Dance - Modal Composition No 2 (AQC0502) [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]: 1638x2048 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 CAB19E 16.1 orange tan
2 BA998F 12.0 red-orange rosybrown
3 717170 12.0 gray dimgray
4 E1DACE 11.7 yellow-orange gainsboro
5 D3C7B3 10.5 yellow-orange silver
6 36302D 9.9 gray darkslategray
7 B38C56 8.9 yellow-orange peru
8 AE837D 8.1 red-orange gray
9 76322A 8.1 red-orange russet
10 4B494A 2.5 gray darkslategrey

Color Families:

Family %
yellow-orange 31.2
red-orange 28.3
gray 24.4
orange 16.1

Texture Analysis

Metric Value
Global Roughness 0.211
Mean Local Roughness 0.014
Roughness Uniformity 0.02
Edge Density 0.037
Mean Gradient Magnitude 0.096
Gradient Variance 0.031
Gradient Smoothness 0.0
Directional Coherence 0.146
Pattern Complexity 0.114
Pattern Repetition 1.0
Detail Frequency Ratio 0.628
Spatial Variation 0.095
Texture Consistency 0.625

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.575
Brightness Variance 0.211
Brightness Uniformity 0.633
Brightness Skewness -0.457
Brightness Entropy 7.344
Rms Contrast 0.211
Michelson Contrast 1.0
Weber Contrast 0.723
Mean Local Contrast 0.013
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.667
Shadow Percentage 19.651
Midtone Percentage 40.074
Highlight Percentage 40.275
Shadow Clipping 0.0
Highlight Clipping 0.003
Tonal Balance 0.115
Fine Contrast 0.008
Medium Contrast 0.017
Coarse Contrast None
Multiscale Contrast Ratio 1.0
Edge Contrast 0.096
Contrast Clustering 0.375

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.71
Color Clustering 0.828
Color Transition Smoothness 0.75
Transition Uniformity 0.797
Sharp Transition Ratio 0.1
Transition Directionality 0.144
Mean Saturation 0.239
Saturation Variance 0.033
Low Saturation Ratio 0.758
Medium Saturation Ratio 0.222
High Saturation Ratio 0.02
Saturation Clustering 1.0
Hue Concentration 0.963
Complementary Balance 0.001
Analogous Dominance 0.998
Temperature Bias 0.997

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). Lydian Dance - Modal Composition No 2 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0502.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2023/01/lydian-dance-modal-composition-no-2_5ng.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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