Sepúlveda, MarcelaCabello, GloriaBastías, FernandoCerrillo Cuenca, Enrique2024-06-102024-06-102024-05-27Cerrillo-Cuenca, E., Sepúlveda, M., Cabello, G. et al. Color-based discrimination of color hues in rock paintings through Gaussian mixture models: a case study from Chomache site (Chile). Herit Sci 12, 169 (2024). https://doi.org/10.1186/s40494-024-01239-910.1186/s40494-024-01239-9https://hdl.handle.net/20.500.14352/104786The article explores advanced image processing techniques for pigment discrimination in rock art paintings, emphasizing color separation using RGB (red, green, blue) and LHCUv (Luminance, Hue, Chroma) imagery. It highlights the use of dimensionality reduction methods such as Principal Components Analisys PCA and Independent Component Analysis (ICA), with a focus on Gaussian Mixture Models (GMM) for probabilistic classification of image elements. This approach, applied to the Chomache archaeological site on the northernmost coast of the Atacama Desert in Chile, reveals previously undetected motifs and details, offering a nuanced perspective in rock art documentation and analysis. This proposal reinforces the value of rock art panel not only as a finished product but as a process.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/journal article2050-7445https://heritagesciencejournal.springeropen.com/articles/10.1186/s40494-024-01239-9https://scholar.google.com/citations?view_op=view_citation&hl=es&user=nwzfyxMAAAAJ&citation_for_view=nwzfyxMAAAAJ:d1gkVwhDpl0Copen access903Rock paintingsCoastal ChileImage processingGaussian mixture modelsColor spacesColor discriminationDigital imagery techniquesHumanidadesPrehistoria5504.05 Prehistoria