CLO0005

Nanopublication — Computational Image Analysis - CLO0005

by Caroline Lopez · 10h55 - Where are you ? · 2026

Claim 1: Computational Image Analysis - CLO0005

K-means clustering analysis [3] (10 colors) performed on artwork 10h55 - Where [1] are you ? (CLO0005) [2] by Caroline Lopez [2] on 2026-03-06. Documentation includes: color families, texture roughness, brightness distribution, spatial coherence.

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]: 1845x1845 pixels. Analysis date: 2026-03-06.

Color Analysis

Rank Color Hex % Family Name
1 C8CBDD 27.3 blue-violet lightgray
2 C2C3D5 20.4 violet lightsteelblue
3 CFD2E5 14.3 violet lightgrey
4 B8B8CC 14.2 violet silver
5 ADAEC3 11.9 violet steel gray
6 DAE8F3 6.8 blue white
7 CB4743 1.9 red-orange indianred
8 D45855 1.6 red-orange tomato
9 A9565C 0.9 red-orange burnt sienna
10 BC868D 0.6 red rosybrown

Color Families:

Family %
violet 60.8
blue-violet 27.3
blue 6.8
red-orange 4.5
red 0.6

Texture Analysis

Metric Value
Global Roughness 0.088
Mean Local Roughness 0.012
Roughness Uniformity 0.013
Edge Density 0.015
Mean Gradient Magnitude 0.082
Gradient Variance 0.019
Gradient Smoothness 0.0
Directional Coherence 0.044
Pattern Complexity 0.144
Pattern Repetition 1.0
Detail Frequency Ratio 0.629
Spatial Variation 0.046
Texture Consistency 0.217

Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.767
Brightness Variance 0.088
Brightness Uniformity 0.885
Brightness Skewness -1.958
Brightness Entropy 6.001
Rms Contrast 0.088
Michelson Contrast 0.67
Weber Contrast 0.177
Mean Local Contrast 0.011
Contrast Uniformity 0.0
Dynamic Range 0.78
Effective Dynamic Range 0.247
Shadow Percentage 0.043
Midtone Percentage 5.475
Highlight Percentage 94.482
Shadow Clipping 0.0
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.007
Medium Contrast 0.014
Coarse Contrast 0.019
Multiscale Contrast Ratio 0.361
Edge Contrast 0.082
Contrast Clustering 0.783

Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.752
Color Clustering 0.0
Color Transition Smoothness 0.799
Transition Uniformity 0.885
Sharp Transition Ratio 0.1
Transition Directionality 0.048
Mean Saturation 0.124
Saturation Variance 0.012
Low Saturation Ratio 0.953
Medium Saturation Ratio 0.045
High Saturation Ratio 0.002
Saturation Clustering 1.0
Hue Concentration 0.997
Complementary Balance 0.0
Analogous Dominance 1.0
Temperature Bias 1.0

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] Caroline Lopez (2026). 10h55 - Where are you ? — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/CLO0005.html

[2] Lopez, C. (2026). 10h55 - Where are you ? - Gallery. https://artquamanima.com/en/artworks/2026/02/10h55-where-are-you_1yuu.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)

4df5ceffe3c8f04423cecd6b007017d50e42f6bdbc8b0f7cdcb45ab4b9c332b5