AQC0667 | NAN-COL000283

Nanopublication — Computational Image Analysis - AQC0667

C+ - Research on Harmony - Variation 1

Claim 1: Computational Image Analysis - AQC0667

K-means clustering (10 colors) performed on artwork C+ - Research on Harmony - Variation 1 (AQC0667) [1] by Arnaud Quercy [2] on 2025-10-03, according to IDS-CMP-2025 [3]. Documentation includes: color families, texture roughness, brightness distribution, spatial coherence.

Context

Analysis performed according to IDS-CMP-2025 [3] includes four metric categories: (a) Color distribution via k-means (10 colors), (b) Texture analysis using Haralick features, (c) Brightness and contrast measurements, (d) Spatial pattern characterization. Source image: 2563x3417 pixels. Analysis date: 2025-10-03.

A) Color Analysis

Rank Color Hex % Family Name
1 E1A992 29.0 orange burlywood
2 E7B9A9 25.0 orange lightpink
3 CD8F6F 8.3 orange darksalmon
4 B8AEAB 7.3 gray steel gray
5 7E4F3A 6.8 orange burnt sienna
6 969292 6.6 gray lightslategray
7 4B3834 6.1 red-orange darkslategray
8 A96C4D 5.5 orange indianred
9 6A7278 3.7 gray dimgray
10 D99C24 1.7 yellow-orange goldenrod
11 27171C 0.3 red very dark gray [Accent]
12 30526A 0.3 blue grayish purple [Accent]
13 282417 0.3 yellow very dark gray [Accent]
14 3A5367 0.3 blue-violet grayish purple [Accent]
15 D2E1E0 0.3 green gainsboro [Accent]

Color Families:

Family %
orange 74.5
gray 17.6
red-orange 6.1
yellow-orange 1.7
red 0.3
blue 0.3
yellow 0.3
blue-violet 0.3
green 0.3

Accent Colors:

Hex Family Name Chroma
27171C red very dark gray 9.1
30526A blue grayish purple 18.7
282417 yellow very dark gray 9.1
3A5367 blue-violet grayish purple 15.5
D2E1E0 green gainsboro 5.1

B) Texture Analysis

Metric Value
Global Roughness 0.161
Mean Local Roughness 0.016
Roughness Uniformity 0.014
Edge Density 0.07
Mean Gradient Magnitude 0.136
Gradient Variance 0.027
Gradient Smoothness 0.0
Directional Coherence 0.009
Pattern Complexity 0.119
Pattern Repetition 1.0
Detail Frequency Ratio 0.612
Spatial Variation 0.099
Texture Consistency 0.529

C) Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.636
Brightness Variance 0.161
Brightness Uniformity 0.747
Brightness Skewness -1.233
Brightness Entropy 6.848
Rms Contrast 0.161
Michelson Contrast 1.0
Weber Contrast 0.535
Mean Local Contrast 0.017
Contrast Uniformity 0.162
Dynamic Range 1.0
Effective Dynamic Range 0.506
Shadow Percentage 8.169
Midtone Percentage 31.339
Highlight Percentage 60.492
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.009
Medium Contrast 0.022
Coarse Contrast 0.034
Multiscale Contrast Ratio 0.256
Edge Contrast 0.136
Contrast Clustering 0.471

D) Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.777
Color Clustering 0.434
Color Transition Smoothness 0.653
Transition Uniformity 0.82
Sharp Transition Ratio 0.1
Transition Directionality 0.009
Mean Saturation 0.322
Saturation Variance 0.027
Low Saturation Ratio 0.414
Medium Saturation Ratio 0.562
High Saturation Ratio 0.024
Saturation Clustering 1.0
Hue Concentration 0.963
Complementary Balance 0.016
Analogous Dominance 0.982
Temperature Bias 0.967

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 Ideamorphic Studies' computational imaging systems.

References

  1. [1] Quercy, A. (2024). C+ - Research on Harmony - Variation 1 - Catalogue Raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0667.html
  2. [2] Quercy, A. (2025). ORCID https://orcid.org/0009-0000-2662-7790
  3. [3] Quercy, A. (2026). Computational Image Analysis Standard. https://ideamorphism.org/en/measurements/2025/11/ids-cmp-2025-computational-image-analysis-standard-5dq9.html

Epistemic profile

Claim typecomputational analysis
Voicethird person
Epistemic statusempirical measurement
Methodologycomputational analysis
Certaintyhigh

Checksum (SHA-256)

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