AQC0473

Nanopublication — Computational Image Analysis - AQC0473

Claim 1: Computational Image Analysis - AQC0473

Analysis record [3]: A Woman [1] - Variation 1 (AQC0473) [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]: 526x701 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 C1A28A 15.4 orange rosybrown
2 DBD1C3 15.3 yellow-orange lightgray
3 A67B6C 14.4 orange gray
4 9D4B37 14.3 red-orange burnt sienna
5 693326 11.6 red-orange russet
6 271C16 9.9 orange very dark gray
7 CB6C52 8.5 red-orange indianred
8 565B5C 5.6 gray dimgray
9 7494B4 3.0 blue-violet lightslategray
10 E7C758 2.1 yellow-orange sandybrown
11 E9E28D 0.3 yellow khaki [Accent]
12 A7B9C8 0.3 blue lightsteelblue [Accent]
13 7C5B80 0.3 red-violet dusty mauve [Accent]
14 2E5A46 0.3 yellow-green darkslategray [Accent]

Color Families:

Family %
orange 39.7
red-orange 34.4
yellow-orange 17.4
gray 5.6
blue-violet 3.0
yellow 0.3
blue 0.3
red-violet 0.3
yellow-green 0.3

Accent Colors:

Hex Family Name Chroma
E9E28D yellow khaki 43.2
A7B9C8 blue lightsteelblue 10.4
7C5B80 red-violet dusty mauve 25.0
2E5A46 yellow-green darkslategray 21.2

Texture Analysis

Metric Value
Global Roughness 0.22
Mean Local Roughness 0.042
Roughness Uniformity 0.048
Edge Density 0.117
Mean Gradient Magnitude 0.265
Gradient Variance 0.188
Gradient Smoothness 0.0
Directional Coherence 0.028
Pattern Complexity 0.134
Pattern Repetition 1.0
Detail Frequency Ratio 0.647
Spatial Variation 0.12
Texture Consistency 0.738

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.499
Brightness Variance 0.22
Brightness Uniformity 0.559
Brightness Skewness -0.051
Brightness Entropy 7.759
Rms Contrast 0.22
Michelson Contrast 1.0
Weber Contrast 0.754
Mean Local Contrast 0.038
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.725
Shadow Percentage 24.465
Midtone Percentage 50.954
Highlight Percentage 24.581
Shadow Clipping 0.013
Highlight Clipping 0.003
Tonal Balance 0.477
Fine Contrast 0.028
Medium Contrast 0.05
Coarse Contrast 0.071
Multiscale Contrast Ratio 0.394
Edge Contrast 0.265
Contrast Clustering 0.262

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.71
Color Clustering 0.748
Color Transition Smoothness 0.293
Transition Uniformity 0.0
Sharp Transition Ratio 0.1
Transition Directionality 0.025
Mean Saturation 0.414
Saturation Variance 0.049
Low Saturation Ratio 0.336
Medium Saturation Ratio 0.541
High Saturation Ratio 0.123
Saturation Clustering 0.995
Hue Concentration 0.84
Complementary Balance 0.06
Analogous Dominance 0.925
Temperature Bias 0.847

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). A Woman - Variation 1 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0473.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2023/01/a-woman-variation-1_5c6.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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