AQC0575

Nanopublication — Computational Image Analysis - AQC0575

by Arnaud Quercy · Speed dating · 2024

Claim 1: Computational Image Analysis - AQC0575

Analysis record [3]: Speed [1] dating (AQC0575) [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]: 2551x3827 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 D5C4B1 18.7 yellow-orange silver
2 E0D2BD 14.9 yellow-orange lightgray
3 A69685 13.2 orange rosybrown
4 B4A593 10.7 yellow-orange steel gray
5 C4B4A3 9.8 orange tan
6 514939 8.3 yellow-orange dark brown
7 403828 7.9 yellow-orange darkslategray
8 958776 6.6 yellow-orange gray
9 665D4C 5.2 yellow-orange dimgray
10 7E7362 4.6 yellow-orange dimgrey

Color Families:

Family %
yellow-orange 77.0
orange 23.0

Texture Analysis

Metric Value
Global Roughness 0.199
Mean Local Roughness 0.018
Roughness Uniformity 0.017
Edge Density 0.089
Mean Gradient Magnitude 0.144
Gradient Variance 0.03
Gradient Smoothness 0.0
Directional Coherence 0.031
Pattern Complexity 0.122
Pattern Repetition 1.0
Detail Frequency Ratio 0.64
Spatial Variation 0.125
Texture Consistency 0.484

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.609
Brightness Variance 0.199
Brightness Uniformity 0.673
Brightness Skewness -0.688
Brightness Entropy 7.211
Rms Contrast 0.199
Michelson Contrast 1.0
Weber Contrast 0.667
Mean Local Contrast 0.019
Contrast Uniformity 0.066
Dynamic Range 0.996
Effective Dynamic Range 0.6
Shadow Percentage 16.369
Midtone Percentage 35.834
Highlight Percentage 47.798
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.01
Medium Contrast 0.024
Coarse Contrast 0.033
Multiscale Contrast Ratio 0.291
Edge Contrast 0.144
Contrast Clustering 0.516

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.752
Color Clustering 0.92
Color Transition Smoothness 0.626
Transition Uniformity 0.794
Sharp Transition Ratio 0.1
Transition Directionality 0.038
Mean Saturation 0.21
Saturation Variance 0.005
Low Saturation Ratio 0.874
Medium Saturation Ratio 0.125
High Saturation Ratio 0.0
Saturation Clustering 1.0
Hue Concentration 0.995
Complementary Balance 0.0
Analogous Dominance 1.0
Temperature Bias 1.0

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). Speed dating — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0575.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/speed-dating_6fu.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)

2af81ea990ecc8486f945e1986c6ffafb74f2c2fd484452df3c62b133d74cf1f