Abstract: A method for processing an image of a surface of a tire to be inspected is described. A three-dimensional digital image is captured of the surface, and each pixel of a plane of the image is assigned an item of information relating to an elevation of the pixel with respect to the surface. By utilizing of a morphological operator that uses a structuring element, a first transformation of the image of the surface is performed with aid of an opening and then of a closing, so as to tailor a grey level of pixels situated abnormally above or below the surface.

Abstract: A method for processing an image of a surface of a tire under inspection is described. A three-dimensional digital image of the surface is captured and, for each point of the captured image, a grey-level value corresponding to an elevation is assigned to the point. Utilizing a first morphological operator that uses a rectangular key element, a closure-type first transformation of the image of the surface is carried out. Utilizing a second morphological operator that uses a rectangular key element, an opening-type second transformation of the surface is carried out. For each point of the image, a grey-level value equal to a minimum value between a grey-level value at that point obtained in a preceding step and a grey-level value at that point is assigned, so as to eliminate false measurement points.

Abstract: In a method for processing an image of a surface of a tire, a 3D digital image of the surface is captured, and each pixel of the captured image is assigned a grey level value proportional to an elevation of a corresponding point with respect to the surface. The pixels are placed in rows and columns. A search is made for zones of the surface that include pixels having a grey-level value lower than a given threshold. Boundaries of an encompassing box that includes one or more of the zones are determined. Inside the encompassing box, a grey-level value equal to a mean grey-level value of a set of reference pixels (Kij, si) positioned in a zone situated in immediate proximity to a pixel under consideration is assigned to each of the pixels whose grey-level value is lower than the given threshold.

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: A method for processing an image of a surface of a tire under inspection is described. A three-dimensional digital image of the surface is captured and, for each point of the captured image, a grey-level value corresponding to an elevation is assigned to the point. Utilizing a first morphological operator that uses a rectangular key element, a closure-type first transformation of the image of the surface is carried out. Utilizing a second morphological operator that uses a rectangular key element, an opening-type second transformation of the surface is carried out. For each point of the image, a grey-level value equal to a minimum value between a grey-level value at that point obtained in a preceding step and a grey-level value at that point is assigned, so as to eliminate false measurement points.

Abstract: A method of determining relief markings on a tire's sidewall surface includes assigning, to each pixel of a three-dimensional image of the surface, a grey-level value proportional to an elevation point corresponding to the pixel, to obtain a starting image. Using linear structuring elements of successively increasing sizes and oriented circumferentially, a series of successive morphological openings is performed iteratively on the starting surface. An image value obtained after a morphological opening using a structuring element is subtracted from an image value obtained after a morphological opening using a structuring element of an immediately lower size, to obtain a succession of images flattened by differencing. A thresholding operation is performed on the images flattened by differencing, to obtain binary images. A set-theoretic union of values of each of the binary images is performed, to obtain a final binary image in which markings appear in relief.

Abstract: A method of determining relief elements on a tire surface includes capturing a three-dimensional image of the surface and assigning to each pixel (i, j) of the image a grey-level value proportional to a topographic elevation of a point corresponding to the pixel, so as to obtain a starting image (ƒ). The method also includes transforming the starting image (ƒ) by a first top-hat operation, with aid of a first structuring element, so as to obtain an image (ƒ1) flattened by differencing, (ƒ1=ƒ—?3,150(ƒ)). The method further includes performing a thresholding operation on the image flattened by differencing, so as to obtain a segmented image, (T<1,30>(ƒ1)=seg1) in which relief elements appear white on a black background.

Abstract: 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 spect

Abstract: A method of determining relief elements on a tyre surface includes capturing a three-dimensional image of the surface and assigning to each pixel (i, j) of the image a grey-level value proportional to a topographic elevation of a point corresponding to the pixel, so as to obtain a starting image (f). The method also includes transforming the starting image (f) by a first top-hat operation, with aid of a first structuring element, so as to obtain an image (f1) flattened by differencing, (f1=f??31,150(f)). The method further includes performing a thresholding operation on the image flattened by differencing, so as to obtain a segmented image, (T<1,30>(f1)=seg1) in which relief elements appear white on a black background.

Abstract: Method for processing the three-dimensional digital image of the surface of a tyre in which the three-dimensional image of the said surface is captured while assigning to each pixel of the plane of the image an item of information relating to the elevation of this point with respect to the surface to be inspected, characterized in that, with the aid of a morphological operator using a structuring element, a first transformation of the image of the surface is performed with the aid of an opening and then of a closing, so as to tailor the grey level of the pixels situated abnormally above or below the surface to be inspected.

Abstract: A method for processing an image of a surface of a tyre under inspection is described. A three-dimensional digital image of the surface is captured and, for each point of the captured image, a grey-level value corresponding to an elevation is assigned to the point. Utilizing a first morphological operator that uses a rectangular key element, a closure-type first transformation of the image of the surface is carried out. Utilizing a second morphological operator that uses a rectangular key element, an opening-type second transformation of the surface is carried out. For each point of the image, a grey-level value equal to a minimum value between a grey-level value at that point obtained in a preceding step and a grey-level value at that point is assigned, so as to eliminate false measurement points.

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

Abstract: A method of determining relief markings on a tyre's sidewall surface includes assigning, to each pixel of a three-dimensional image of the surface, a grey-level value proportional to an elevation point corresponding to the pixel, to obtain a starting image. Using linear structuring elements of successively increasing sizes and oriented circumferentially, a series of successive morphological openings is performed iteratively on the starting surface. An image value obtained after a morphological opening using a structuring element is subtracted from an image value obtained after a morphological opening using a structuring element of an immediately lower size, to obtain a succession of images flattened by differencing. A thresholding operation is performed on the images flattened by differencing, to obtain binary images. A set-theoretic union of values of each of the binary images is performed, to obtain a final binary image in which markings appear in relief.

Abstract: In a method for processing an image of a surface of a tyre, a 3D digital image of the surface is captured, and each pixel of the captured image is assigned a grey level value proportional to an elevation of a corresponding point with respect to the surface. The pixels are placed in rows and columns. A search is made for zones of the surface that include pixels having a grey-level value lower than a given threshold. Boundaries of an encompassing box that includes one or more of the zones are determined. Inside the encompassing box, a grey-level value equal to a mean grey-level value of a set of reference pixels (Kij, si) positioned in a zone situated in immediate proximity to a pixel under consideration is assigned to each of the pixels whose grey-level value is lower than the given threshold.

Abstract: 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 spect