AQC0933

Nanopublication — Computational Image Analysis - AQC0933

Claim 1: Computational Image Analysis - AQC0933

The artwork Db Octaves [1] - Research on Harmony - Reflections 41 (AQC0933) [2] by Arnaud Quercy [2] underwent comprehensive computational analysis [3] on 2026-02-04. Method: k-means clustering with 10 colors extracted. Metrics documented: color distribution, texture analysis, brightness/contrast, spatial patterns.

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]: 1789x2505 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 55CCD5 25.3 blue-green mediumturquoise
2 0D1215 14.9 black black
3 3AACD1 14.8 blue lightseagreen
4 066EAB 13.3 blue-violet darkcyan
5 70E4DD 8.7 green aquamarine
6 162025 7.9 blue very dark gray
7 147FBB 7.2 blue-violet grayish purple
8 ECE7DB 6.5 yellow-orange white
9 325861 0.8 blue-green darkslategray
10 938A53 0.5 yellow gray
11 82BE9F 0.3 yellow-green darkseagreen [Accent]
12 65526D 0.3 red-violet dusty mauve [Accent]
13 C5B8AE 0.3 orange silver [Accent]

Color Families:

Family %
blue-green 26.1
blue 22.7
blue-violet 20.5
black 14.9
green 8.7
yellow-orange 6.5
yellow 0.5
yellow-green 0.3
red-violet 0.3
orange 0.3

Accent Colors:

Hex Family Name Chroma
82BE9F yellow-green darkseagreen 27.9
65526D red-violet dusty mauve 18.4
C5B8AE orange silver 7.6

Texture Analysis

Metric Value
Global Roughness 0.262
Mean Local Roughness 0.022
Roughness Uniformity 0.025
Edge Density 0.059
Mean Gradient Magnitude 0.152
Gradient Variance 0.063
Gradient Smoothness 0.0
Directional Coherence 0.004
Pattern Complexity 0.131
Pattern Repetition 1.0
Detail Frequency Ratio 0.63
Spatial Variation 0.16
Texture Consistency 0.498

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.476
Brightness Variance 0.262
Brightness Uniformity 0.45
Brightness Skewness -0.268
Brightness Entropy 7.368
Rms Contrast 0.262
Michelson Contrast 1.0
Weber Contrast 0.897
Mean Local Contrast 0.021
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.827
Shadow Percentage 28.187
Midtone Percentage 43.512
Highlight Percentage 28.301
Shadow Clipping 0.004
Highlight Clipping 0.003
Tonal Balance 0.019
Fine Contrast 0.014
Medium Contrast 0.027
Coarse Contrast 0.039
Multiscale Contrast Ratio 0.356
Edge Contrast 0.152
Contrast Clustering 0.502

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.794
Color Clustering 0.602
Color Transition Smoothness 0.612
Transition Uniformity 0.569
Sharp Transition Ratio 0.1
Transition Directionality 0.004
Mean Saturation 0.592
Saturation Variance 0.066
Low Saturation Ratio 0.155
Medium Saturation Ratio 0.506
High Saturation Ratio 0.34
Saturation Clustering 0.998
Hue Concentration 0.973
Complementary Balance 0.004
Analogous Dominance 0.993
Temperature Bias -0.99

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 (2025). Db Octaves - Research on Harmony - Reflections 41 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0933.html

[2] Quercy, A. (2025). Db Octaves - Research on Harmony - Reflections 41 - Gallery. https://artquamanima.com/en/artworks/2025/12/db-octaves-research-on-harmony-reflections-41_1hyh.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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