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Also published as: WO2011131410 (A1), FR2959046 (A1), FR2959046 (B1), US2013129182 (A1), US9002093 (B2), JP2013532315 (A), JP5779232 (B2), EP2561479 (A1), CN102844791 (A), CN102844791 (B), BR112012025402 (A2); Method for detecting an anomaly on the surface of a tire comprising the following steps in the course of which: A-the image of a given anomaly present on the surface of at least one tire is produced, B-with the aid of a collection of filters, a multivariate image of the said surface is constructed in a space of the filters, in which each pixel is represented in the form of a pixel vector, the components of each pixel vector having a value corresponding to the value of this pixel in the image transformed with the aid of each of the filters of the said collection, C-with the aid of a linear function, this multivariate image is transformed from the space of the filters into a spectral space of given dimension whose variables are the filters or combinations of filters of the said collection, so as to form a spectral image, D-a classifier is constructed by determining, for this anomaly,; those zones representative of the spectral space which contain, in a statistically representative manner, the points of the spectral image of the said anomaly transformed into the said spectral space.