Nanopublication — Computational Image Analysis - AQC0480
Claim 1: Computational Image Analysis - AQC0480
The artwork Conversation [1] with Alyssums (AQC0480) [2] by Arnaud Quercy [2] underwent comprehensive computational analysis [3] on 2025-10-18. Method: k-means clustering with 10 colors extracted. Metrics documented: color distribution, texture analysis, brightness/contrast, spatial patterns.
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]: 1536x2048 pixels. Analysis date: 2025-10-18.
## 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 (2023). Conversation with Alyssums — Catalog raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0480.html
[2] Quercy, A. (2025). Untitled - Gallery. https://artquamanima.com/en/artworks/2023/01/conversation-with-alyssums_5ew.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 type | computational analysis |
|---|---|
| Voice | third person |
| Epistemic status | empirical measurement |
| Methodology | computational analysis |
| Certainty | high |
Checksum (SHA-256)
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