Abstract: A method comprises steps in which: the specimen is baked under pressure then put into the expected format, a stripping test is carried out by peeling apart two reinforcing plies, at least one image is acquired of the two half-specimens obtained at the end of the stripping test, the acquired images are trimmed, a first image separating reinforcement regions from regions of rubber composition is then determined, a second image is determined depending on the spacing and on the diameter of the reinforcing cords of the tire, among a theoretical image and a fitted theoretical image, and a score depending on the ratio of the area of the reinforcing cords in the first image to the area of the reinforcing cords in the second image is determined.

Abstract: A method comprises steps in which: the specimen is baked under pressure then put into the expected format, a stripping test is carried out by peeling apart two reinforcing plies, at least one image is acquired of the two half-specimens obtained at the end of the stripping test, the acquired images are trimmed, a first image separating reinforcement regions from regions of rubber composition is then determined a second image is determined depending on the spacing and on the diameter of the reinforcing cords of the tire, among a theoretical image and a fitted theoretical image, and a score depending on the ratio of the area of the reinforcing cords in the first image to the area of the reinforcing cords in the second image is determined.

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: The invention relates to a method of segmenting an image, representative of an object whose external surface exhibits relief patterns, into a first zone comprising patterns and a second zone not comprising any, the method comprising the following steps: A thresholding step in the course of which the grey level image is transformed into a binary image, A step of evaluating the number of patterns on each line of the image, and A step in the course of which, as a function of the results of the previous steps which make it possible to obtain a number of patterns in the image, a first set of pixels of the image representing patterns is determined.

Abstract: A method of segmenting a grey-level image of a tire is provided. The image is segmented into a first zone that includes striations and a second zone that does not include striations. In a flattening step, the grey-level image is rendered flat. In a thresholding step, the flattened grey-level image is transformed into a binary image. In a detection step, lines of the binary image that include striations are detected. In an evaluation step, a number of striations on each line detected in the detection step is evaluated. In a pixel determination step, based on results of the detection and evaluation steps, a number of striations in the binary image is obtained and a first set of pixels of the binary image is determined. The first set of pixels represents striations in the binary 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.