Minimizing Libs damage in the analysis of decorative tiles using RGB data clustering

Datos Bibliográficos

ID12513153
AutoresRafael Cavaco (0009-0001-2629-716X, INESC TEC), Diana Capela (0000-0001-8335-6456, Universidade do Porto), Pedro A S Jorge (0000-0003-1484-2068, Universidade do Porto), Nuno A Silva (0000-0002-8467-4357, Universidade do Porto), Diana Guimarães (0000-0001-7451-1979, INESC TEC, autor de correspondencia)
Año2026
Volumen78
Páginas175-186
Fecha de publicación2026-02-23
Open AccessSí
TipoARTICLE
RevistaJournal of Cultural Heritage (JOURNAL)
Identificadores de la revistaISSN: 1296-2074 • E-ISSN: 1778-3674
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.culher.2026.02.001
OpenAlexW7131103608
IdiomaEN
Referencias citadas29

Dual-domain clustering integrates RGB segmentation with LIBS spectral mapping. • Achieves high match between visual and chemical similarity across sample regions. • Cuts LIBS shots and data size by more than one order of magnitude. • Minimizes surface damage while preserving chemical representativeness. • Scalable workflow applicable to other layered cultural-heritage materials. Spectral analysis of cultural heritage materials offers valuable insights into the restoration and preservation of historical artifacts, revealing details about the materials used and the manufacturing techniques employed. However, given their historical and artistic significance, the extraction of elemental information from these fragile samples poses a unique challenge, as these objects must be examined using minimally invasive methods to prevent irreversible damage. Laser-induced Breakdown Spectroscopy (LIBS) is one such technique, providing a rapid and detailed elemental characterization. Yet, extensive LIBS analysis can still compromise the integrity of these delicate objects. In this work, a novel approach that integrates spectral and RGB data clustering to significantly reduce the number of LIBS measurements required is introduced. By segmenting the material into visually and chemically distinct clusters, this method enables targeted LIBS analysis using only a few representative shots per cluster, thus preserving the integrity of cultural heritage artifacts while still delivering reliable compositional insights

Cluster analysis · Hierarchical clustering · Laser-induced breakdown spectroscopy · Pattern recognition (psychology · RGB color model · Segmentation · Spectral clustering · Workflow · Building materials and conservation · Cultural Heritage Materials Analysis · Laser-induced spectroscopy and plasma

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