2024
DOI: 10.1186/s40494-024-01239-9
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Color-based discrimination of color hues in rock paintings through Gaussian mixture models: a case study from Chomache site (Chile)

Enrique Cerrillo-Cuenca,
Marcela Sepúlveda,
Gloria Cabello
et al.

Abstract: The 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… Show more

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