AQC0955

Nanopublication — Computational Image Analysis - AQC0955

by Arnaud Quercy · A7Sus - Research on Harmony · 2026

Claim 1: Computational Image Analysis - AQC0955

Analysis record [3]: A7Sus - Research [1] on Harmony (AQC0955) [2] by Arnaud Quercy [2]. Method: k-means. Parameters: 10 colors. Metrics: color distribution, texture, brightness, spatial patterns. Completed: 2026-03-05.

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]: 1753x2630 pixels. Analysis date: 2026-03-05.

Color Analysis

Rank Color Hex % Family Name
1 D5B789 18.1 yellow-orange tan
2 A7AAAA 14.2 gray steel gray
3 989997 13.7 gray steel gray
4 EE7A15 12.3 orange darkorange
5 DFC8A5 12.0 yellow-orange burlywood
6 E1DBCD 10.5 yellow-orange gainsboro
7 ED8A31 7.3 orange peru
8 F09C52 6.0 orange sandybrown
9 2E2726 5.3 gray very dark gray
10 775C4B 0.6 orange dimgray
11 2B0A04 0.3 red-orange very dark red [Accent]

Color Families:

Family %
yellow-orange 40.7
gray 33.2
orange 26.2
red-orange 0.3

Accent Colors:

Hex Family Name Chroma
2B0A04 red-orange very dark red 18.4

Texture Analysis

Metric Value
Global Roughness 0.155
Mean Local Roughness 0.023
Roughness Uniformity 0.019
Edge Density 0.094
Mean Gradient Magnitude 0.178
Gradient Variance 0.051
Gradient Smoothness 0.0
Directional Coherence 0.005
Pattern Complexity 0.119
Pattern Repetition 1.0
Detail Frequency Ratio 0.636
Spatial Variation 0.1
Texture Consistency 0.653

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.663
Brightness Variance 0.155
Brightness Uniformity 0.766
Brightness Skewness -1.596
Brightness Entropy 6.851
Rms Contrast 0.155
Michelson Contrast 1.0
Weber Contrast 0.335
Mean Local Contrast 0.025
Contrast Uniformity 0.139
Dynamic Range 1.0
Effective Dynamic Range 0.643
Shadow Percentage 5.536
Midtone Percentage 43.783
Highlight Percentage 50.681
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.012
Medium Contrast 0.031
Coarse Contrast 0.041
Multiscale Contrast Ratio 0.288
Edge Contrast 0.178
Contrast Clustering 0.347

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.722
Color Clustering 0.463
Color Transition Smoothness 0.559
Transition Uniformity 0.648
Sharp Transition Ratio 0.1
Transition Directionality 0.004
Mean Saturation 0.334
Saturation Variance 0.101
Low Saturation Ratio 0.512
Medium Saturation Ratio 0.283
High Saturation Ratio 0.205
Saturation Clustering 0.999
Hue Concentration 0.993
Complementary Balance 0.0
Analogous Dominance 0.998
Temperature Bias 0.999

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 (2026). A7Sus - Research on Harmony — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0955.html

[2] Quercy, A. (2026). F7 - Research on Harmony - Gallery. https://artquamanima.com/en/artworks/2026/03/a7sus-research-on-harmony_1yji.html

[3] Quercy, A. (2025). Computational Image Analysis Standard - MMIDS-CMP-2025 https://multimodal.institute/en/publications/2025/10/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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