AQC0787

Nanopublication — Computational Image Analysis - AQC0787

by Arnaud Quercy · G Major - Research on Harmony - Variation 2 · 2024

Claim 1: Computational Image Analysis - AQC0787

Analysis record [3]: G Major [1] - Research on Harmony - Variation 2 (AQC0787) [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]: 2370x3555 pixels. Analysis date: 2026-02-04.

Color Analysis

Rank Color Hex % Family Name
1 242020 20.0 gray very dark gray
2 D5770F 19.0 orange chocolate
3 C6985E 12.3 orange ochre
4 BC977A 10.2 orange rosybrown
5 CDAB8F 8.9 orange tan
6 BE3B27 8.2 red-orange firebrick
7 9E9485 7.4 yellow-orange gray
8 A78A5F 6.2 yellow-orange peru
9 98532A 5.3 orange burnt sienna
10 98871F 2.6 yellow darkgoldenrod
11 D1BDC1 0.3 red silver [Accent]

Color Families:

Family %
orange 55.7
gray 20.0
yellow-orange 13.5
red-orange 8.2
yellow 2.6
red 0.3

Accent Colors:

Hex Family Name Chroma
D1BDC1 red silver 8.1

Texture Analysis

Metric Value
Global Roughness 0.193
Mean Local Roughness 0.008
Roughness Uniformity 0.011
Edge Density 0.018
Mean Gradient Magnitude 0.092
Gradient Variance 0.027
Gradient Smoothness 0.0
Directional Coherence 0.033
Pattern Complexity 0.11
Pattern Repetition 1.0
Detail Frequency Ratio 0.562
Spatial Variation 0.158
Texture Consistency 0.471

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.473
Brightness Variance 0.193
Brightness Uniformity 0.592
Brightness Skewness -0.842
Brightness Entropy 6.872
Rms Contrast 0.193
Michelson Contrast 1.0
Weber Contrast 0.805
Mean Local Contrast 0.011
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.576
Shadow Percentage 20.593
Midtone Percentage 69.71
Highlight Percentage 9.697
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.004
Medium Contrast 0.013
Coarse Contrast 0.029
Multiscale Contrast Ratio 0.144
Edge Contrast 0.092
Contrast Clustering 0.529

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.777
Color Clustering 0.445
Color Transition Smoothness 0.755
Transition Uniformity 0.809
Sharp Transition Ratio 0.1
Transition Directionality 0.05
Mean Saturation 0.49
Saturation Variance 0.103
Low Saturation Ratio 0.294
Medium Saturation Ratio 0.358
High Saturation Ratio 0.348
Saturation Clustering 1.0
Hue Concentration 0.98
Complementary Balance 0.0
Analogous Dominance 0.998
Temperature Bias 0.993

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). G Major - Research on Harmony - Variation 2 — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0787.html

[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2024/01/g-major-research-on-harmony-variation-2_8qa.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)

07fae9f8e57c48f5e380cff44961969493687c060c7f8a0ba7aebd81b169ca87