Quantifying subtle color transitions in Mark Rothko's abstract paintings through K-means clustering and Delta E analysis
Year: 2025
Type: article
Abstract: A pivotal figure in American art, Mark Rothko, produced paintings characterized by large, gently blended color fields, challenging traditional perceptions of simplicity and complexity within abstract art. This research investigates the application of computational color analysis techniques to Mark Rothko's abstract paintings, focusing on his unique approach to color as a means of expression. Utilizing K-means clustering and Delta E metrics, this study systematically analyzes the color compositions in Rothko's paintings, allowing for a detailed examination of color relationships and transitions. By quantifying color variations and identifying subtle hue variations, the manuscript aims to examine the underlying structures that contribute to the global resonance of Rothko’s art. The findings offer valuable insights into the artist's methodology, highlighting the significance of color dynamics in shaping viewer experiences, while also enhancing understanding of art through a mathematical and computational lens.
Source: Journal of Cultural Heritage
Authors: E.-M. Papia, A. Kondi
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,380
OpenAlex ID: W4407809210