AQC0619

Nanopublication — Computational Image Analysis - AQC0619

by Arnaud Quercy · Promenade aux jardins du Luxembourg - Variation 5 · 2024

Claim 1: Computational Image Analysis - AQC0619

Analysis record [3]: Promenade [1] aux jardins du Luxembourg - Variation 5 (AQC0619) [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]: 1520x2027 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 ECDDC7 25.0 yellow-orange bisque
2 DFA96F 16.0 orange darksalmon
3 B1C0BD 12.7 green silver
4 90AAAC 11.7 blue-green steel gray
5 E1CFAD 11.0 yellow-orange wheat
6 658A91 5.4 blue-green blue gray
7 8E8B52 5.3 yellow gray
8 4D5D4C 4.5 yellow-green dark brown
9 1B1810 4.3 yellow-orange black
10 CC9D2C 4.0 yellow-orange goldenrod
11 2A586D 0.3 blue darkslategray [Accent]

Color Families:

Family %
yellow-orange 44.4
blue-green 17.0
orange 16.0
green 12.7
yellow 5.3
yellow-green 4.5
blue 0.3

Accent Colors:

Hex Family Name Chroma
2A586D blue darkslategray 19.2

Texture Analysis

Metric Value
Global Roughness 0.195
Mean Local Roughness 0.03
Roughness Uniformity 0.034
Edge Density 0.135
Mean Gradient Magnitude 0.231
Gradient Variance 0.148
Gradient Smoothness 0.0
Directional Coherence 0.011
Pattern Complexity 0.123
Pattern Repetition 1.0
Detail Frequency Ratio 0.618
Spatial Variation 0.074
Texture Consistency 0.81

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.69
Brightness Variance 0.195
Brightness Uniformity 0.718
Brightness Skewness -1.451
Brightness Entropy 7.177
Rms Contrast 0.195
Michelson Contrast 1.0
Weber Contrast 0.498
Mean Local Contrast 0.032
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.631
Shadow Percentage 6.413
Midtone Percentage 28.189
Highlight Percentage 65.398
Shadow Clipping 0.06
Highlight Clipping 0.005
Tonal Balance 0.0
Fine Contrast 0.017
Medium Contrast 0.04
Coarse Contrast 0.065
Multiscale Contrast Ratio 0.261
Edge Contrast 0.231
Contrast Clustering 0.19

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.692
Color Clustering 0.63
Color Transition Smoothness 0.411
Transition Uniformity 0.0
Sharp Transition Ratio 0.1
Transition Directionality 0.016
Mean Saturation 0.298
Saturation Variance 0.044
Low Saturation Ratio 0.643
Medium Saturation Ratio 0.302
High Saturation Ratio 0.055
Saturation Clustering 0.997
Hue Concentration 0.559
Complementary Balance 0.037
Analogous Dominance 0.753
Temperature Bias 0.443

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). Promenade aux jardins du Luxembourg - Variation 5 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0619.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/promenade-aux-jardins-du-luxembourg-variation-5_6wy.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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