Method for the characterisation and classification of kidney stones, comprised the following stages:(a) Taking a series of kidney stone samples and cutting them to observe their interior, obtaining the flattest possible surface,(b) The technique of Hyperspectral Imaging (HSI) is applied to obtain the spectra of previously cut kidney stones, selecting a series of Regions of Interest (ROI) and analysing the image using Principal Component Analysis (PCA)(c) The main species are identified using Factor Analysis (FA)(d) Outliers are identified using Principal Component Analysis (PCA)(e) The different types of kidney stones are analysed using Principal Component Analysis (PCA)(f) The data obtained from the Principal Component Analysis (PCA) are subject to Artificial Neural Networks (ANN) for classification.