Abstract: A method for detecting a defect on a surface of a tire includes automated steps of: calculating values of a gradient of a plurality of texture parameters from an image of the surface of the tire, determining an image of the gradient, and thresholding of the image of the gradient to obtain a thresholded image.

Abstract: A method for detecting a defect on a surface of a tire includes automated steps of: calculating values of a gradient of a plurality of texture parameters from an image of the surface of the tire, determining an image of the gradient, and thresholding of the image of the gradient to obtain a thresholded image.

Abstract: In a method of fast analysis of relief elements featuring on an inner surface of a tire, a three-dimensional image of the surface is captured, and each pixel of the image is assigned a greyscale value proportional to a topographical elevation of a point corresponding to the pixel, so as to obtain a starting image. The image is transformed into an orthogonal reference frame (OXY) in which an abscissa axis (OX) represents circumferential values and an ordinate axis (OY) represents radial values. Each point of the surface, i.e., each pixel, is assigned an altitude gradient value (f(p)) by comparing an elevation of the point with an elevation of a discrete and reduced number of points arranged on a straight line passing through a pixel being considered (p) and oriented in a circumferential direction.

Abstract: A tire appearance detection method includes: capturing an original grey-level image of an inner surface of a tire, and transforming the original image into an orthonormal space with an x-axis (OX) representing a circumferential direction and with a y-axis (OY) representing a radial direction; applying a series of filters to the original image, to obtain a multivariate image; splitting the multivariate image according to a predefined tiling in axial and circumferential directions, to obtain multivariate sub-images of the inner surface of the tire; transforming each of the multivariate sub-images into one-dimensional vectors using selected descriptors, to obtain a simplified multivariate image of the inner surface of the tire; transforming the simplified multivariate image into a common reduced factorial space; and locating sub-images of the inner surface of the tire containing an anomaly using a classifier suitable for identifying an area of the common reduced factorial space containing an anomaly.

Abstract: In a method of fast analysis of relief elements featuring on an inner surface of a tyre, a three-dimensional image of the surface is captured, and each pixel of the image is assigned a greyscale value proportional to a topographical elevation of a point corresponding to the pixel, so as to obtain a starting image. The image is transformed into an orthogonal reference frame (OXY) in which an abscissa axis (OX) represents circumferential values and an ordinate axis (OY) represents radial values. Each point of the surface, i.e., each pixel, is assigned an altitude gradient value (f(p)) by comparing an elevation of the point with an elevation of a discrete and reduced number of points arranged on a straight line passing through a pixel being considered (p) and oriented in a circumferential direction.

Abstract: Detection method according to Claim 9, in which, the grey level image of the inner surface of a tyre to be checked is captured and this original image is transformed into an orthonormal space in which the x-axis (OX) represents the circumferential direction, and the y-axis (OY), the predetermined series of filters is applied to the original image of the inner surface of the tyre to be checked in order to obtain a multivariate original image, the multivariate original image is split according to the predefined tiling in the axial and circumferential directions, in such a way as to obtain multivariate sub-images of the inner surface of the tyre to be checked, each of the multivariate sub-images is transformed into one-dimensional vectors, using each of the selected descriptors, in such a way as to obtain a simplified multivariate image of the inner surface of the tyre to be checked, the simplified multivariate image is transformed into the common reduced factorial space, the sub-images of the inner surface o