AQC0718

Nanopublication — Computational Image Analysis - AQC0718

Claim 1: Computational Image Analysis - AQC0718

Computational image analysis [3] of artwork C Major [1] - Research on Harmony - Variation 2 (AQC0718) [2] by Arnaud Quercy [2] using k-means clustering method with 10 color extraction parameters. Analysis includes color distribution, texture metrics, brightness/contrast measurements, and spatial pattern characterization. Analysis completed on 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]: 3024x4032 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 252324 14.6 gray very dark gray
2 C84928 14.4 red-orange chocolate
3 E2D6D7 13.1 white gainsboro
4 DFB0BA 12.4 red lightpink
5 BF3519 11.9 red-orange firebrick
6 373A3C 11.4 gray darkslategray
7 D9B48B 8.3 orange tan
8 C59775 6.5 orange rosybrown
9 D87616 4.5 orange darkgoldenrod
10 535961 2.9 blue-violet grayish purple
11 FCE3AB 0.3 yellow-orange navajowhite [Accent]
12 FAF2FA 0.3 red-violet white [Accent]
13 686538 0.3 yellow dark brown [Accent]

Color Families:

Family %
red-orange 26.3
gray 26.0
orange 19.3
white 13.1
red 12.4
blue-violet 2.9
yellow-orange 0.3
red-violet 0.3
yellow 0.3

Accent Colors:

Hex Family Name Chroma
FCE3AB yellow-orange navajowhite 31.0
FAF2FA red-violet white 5.0
686538 yellow dark brown 26.7

Texture Analysis

Metric Value
Global Roughness 0.25
Mean Local Roughness 0.021
Roughness Uniformity 0.022
Edge Density 0.084
Mean Gradient Magnitude 0.157
Gradient Variance 0.051
Gradient Smoothness 0.0
Directional Coherence 0.015
Pattern Complexity 0.123
Pattern Repetition 1.0
Detail Frequency Ratio 0.644
Spatial Variation 0.167
Texture Consistency 0.635

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.493
Brightness Variance 0.25
Brightness Uniformity 0.492
Brightness Skewness 0.072
Brightness Entropy 7.49
Rms Contrast 0.25
Michelson Contrast 1.0
Weber Contrast 0.813
Mean Local Contrast 0.022
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.729
Shadow Percentage 28.821
Midtone Percentage 35.89
Highlight Percentage 35.289
Shadow Clipping 0.001
Highlight Clipping 0.003
Tonal Balance 0.157
Fine Contrast 0.013
Medium Contrast 0.027
Coarse Contrast 0.037
Multiscale Contrast Ratio 0.34
Edge Contrast 0.157
Contrast Clustering 0.365

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.723
Color Clustering 0.711
Color Transition Smoothness 0.593
Transition Uniformity 0.65
Sharp Transition Ratio 0.1
Transition Directionality 0.023
Mean Saturation 0.388
Saturation Variance 0.108
Low Saturation Ratio 0.517
Medium Saturation Ratio 0.174
High Saturation Ratio 0.309
Saturation Clustering 0.999
Hue Concentration 0.808
Complementary Balance 0.082
Analogous Dominance 0.915
Temperature Bias 0.836

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). C Major - Research on Harmony - Variation 2 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0718.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/c-major-research-on-harmony-variation-2_7zg.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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