AQC0505

Nanopublication — Computational Image Analysis - AQC0505

Claim 1: Computational Image Analysis - AQC0505

Analysis record [3]: Mixolydian [1] Resonances - Modal Composition No 3 (AQC0505) [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 DABC95 15.1 yellow-orange tan
2 D0650E 14.8 orange chocolate
3 ACA79F 14.0 yellow-orange steel gray
4 EAC176 12.8 yellow-orange burlywood
5 CD9F70 11.5 orange ochre
6 CECABA 9.7 yellow silver
7 A41B12 8.0 red-orange firebrick
8 181B20 7.7 gray very dark gray
9 857A75 4.0 orange gray
10 49A0C5 2.4 blue steelblue
11 759EA4 0.3 blue-green cadetblue [Accent]
12 E4E5DA 0.3 yellow-green white [Accent]

Color Families:

Family %
yellow-orange 41.9
orange 30.2
yellow 9.7
red-orange 8.0
gray 7.7
blue 2.4
blue-green 0.3
yellow-green 0.3

Accent Colors:

Hex Family Name Chroma
759EA4 blue-green cadetblue 14.4
E4E5DA yellow-green white 5.4

Texture Analysis

Metric Value
Global Roughness 0.21
Mean Local Roughness 0.023
Roughness Uniformity 0.022
Edge Density 0.094
Mean Gradient Magnitude 0.162
Gradient Variance 0.049
Gradient Smoothness 0.0
Directional Coherence 0.028
Pattern Complexity 0.124
Pattern Repetition 1.0
Detail Frequency Ratio 0.611
Spatial Variation 0.149
Texture Consistency 0.566

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.591
Brightness Variance 0.21
Brightness Uniformity 0.644
Brightness Skewness -1.033
Brightness Entropy 7.3
Rms Contrast 0.21
Michelson Contrast 1.0
Weber Contrast 0.69
Mean Local Contrast 0.022
Contrast Uniformity 0.113
Dynamic Range 1.0
Effective Dynamic Range 0.714
Shadow Percentage 15.332
Midtone Percentage 34.188
Highlight Percentage 50.48
Shadow Clipping 0.004
Highlight Clipping 0.001
Tonal Balance 0.0
Fine Contrast 0.015
Medium Contrast 0.028
Coarse Contrast 0.042
Multiscale Contrast Ratio 0.358
Edge Contrast 0.162
Contrast Clustering 0.434

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.761
Color Clustering 0.525
Color Transition Smoothness 0.582
Transition Uniformity 0.68
Sharp Transition Ratio 0.1
Transition Directionality 0.027
Mean Saturation 0.451
Saturation Variance 0.092
Low Saturation Ratio 0.344
Medium Saturation Ratio 0.418
High Saturation Ratio 0.238
Saturation Clustering 0.999
Hue Concentration 0.751
Complementary Balance 0.115
Analogous Dominance 0.884
Temperature Bias 0.77

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). Mixolydian Resonances - Modal Composition No 3 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0505.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/mixolydian-resonances-modal-composition-no-3_5om.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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