Method for detecting a defect on a surface of a tire
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.
1. A method for detecting a defect on a surface of a tire, the method comprising:
automatically calculating, using a computer, values of a gradient of a plurality of texture parameters from an image of the surface of the tire;
automatically determining, using the computer, an image of the gradient;
automatically thresholding, using the computer, the image of the gradient to obtain a thresholded image; and
displaying the thresholded image, wherein the plurality of texture parameters comprises at least five texture parameters.
2. The method according to claim 1 , wherein the image of the surface of the tire is an image of an inner surface of the tire.
3. The method according to claim 1 , further comprising using a laser system to automatically acquire the image of the surface of the tire by laser triangulation.
4. The method according to claim 1 , wherein the computer calculates the values of the gradient in a selection of pixels of a part of the image of the surface of the tire.
5. The method according to claim 1 , further comprising automatically calculating, using the computer, a grey-level gradient in the image of the surface of the tire.
6. The method according to claim 1 , wherein the thresholding is performed by the computer using a hysteresis process.
7. The method according to claim 1 , wherein the plurality of texture parameters consists of five texture parameters.
8. The method according to claim 1 , wherein the plurality of texture parameters comprises Haralick parameters.
9. The method according to claim 1 , wherein the plurality of texture parameters comprises a local binary pattern.
10. The method according to claim 1 , wherein the plurality of texture parameters comprises 25 texture parameters.
11. A computer-readable storage medium storing a program that when executed by a computer causes the computer to perform a method for detecting a defect on a surface of a tire, wherein the method includes:
automatically calculating values of a gradient of a plurality of texture parameters from an image of the surface of the tire;
automatically determining an image of the gradient;
automatically thresholding the image of the gradient to obtain a thresholded image; and
displaying the thresholded image, wherein the plurality of texture parameters comprises at least five texture parameters.
12. A method for detecting a defect on a surface of a tire, the method comprising downloading to a computer, via a telecommunications network, coded instructions that when executed by the computer cause the computer to:
automatically calculate values of a gradient of a plurality of texture parameters from an image of the surface of the tire,
automatically determine an image of the gradient,
automatically perform a thresholding process on the image of the gradient to obtain a thresholded image, and
display the thresholded image, wherein the plurality of texture parameters comprises at least five texture parameters.
13. An installation for detecting a defect on a surface of a tire, the installation comprising a computer programmed to:
automatically calculate values of a gradient of a plurality of texture parameters from an image of the surface of the tire,
automatically determine an image of the gradient,
automatically perform a thresholding process on the image of the gradient to obtain a thresholded image, and
display the thresholded image, wherein the plurality of texture parameters comprises at least five texture parameters.
14. The installation according to claim 13 , further comprising a laser system that automatically acquires the image of the surface of the tire.