METHOD FOR DETECTING A DEFECT ON A SURFACE OF A TIRE

• US 20170278234A1
• Filed: 12/01/2015
• Published: 09/28/2017
• Est. Priority Date: 12/15/2014
• Status: Active Grant

• Current Assignee: Compagnie générale des établissements Michelin
• Original Assignee: Compagnie générale des établissements Michelin, Michelin Recherche et Technique SA (Compagnie Generale DES Etablissements Michelin SCA)
• Inventors: ARVIS, VINCENT, JEULIN, DOMINIQUE, BILODEAU, MICHEL
• Granted Patent: US 10,445,868 B2
• Time in Patent Office: Days
• CPC Class Codes: G06T 7/0004 Industrial image inspection
• CPC Class Codes: G06T 7/41 based on statistical description of texture
• CPC Class Codes: G06T 7/44 using image operators, e.g. filters, edge density metrics or local histograms

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.

Claims

1-11. -11:

(canceled)

12. :

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; and

automatically thresholding, using the computer, the image of the gradient to obtain a thresholded image.

13. :

The method according to claim 12, wherein the image of the surface of the tire is an image of an inner surface of the tire.

14. :

The method according to claim 12, further comprising using a laser system to automatically acquire the image of the surface of the tire by laser triangulation.

15. :

The method according to claim 12, 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.

16. :

The method according to claim 12, further comprising automatically calculating, using the computer, a grey-level gradient in the image of the surface of the tire.

17. :

The method according to claim 12, wherein the thresholding is performed by the computer using a hysteresis process.

18. :

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; and

automatically thresholding the image of the gradient to obtain a thresholded image.

19. :

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 causes 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, and

automatically perform a thresholding process on the image of the gradient to obtain a thresholded image.

20. :

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, and

automatically perform a thresholding process on the image of the gradient to obtain a thresholded image.

21. :

The installation according to claim 20, further comprising a laser system that automatically acquires the image of the surface of the tire.