Method and system utilizing imaging analysis for golf balls
A method and system for determining concentricity of a multiple layer golf ball are disclosed herein. One or more images of a golf ball are generated using an X-ray source, a camera or a digital detector, and an image intensifier. An edge detection algorithm is preferably utilized. The method also includes calculating Y,Z center coordinates of the a best fit diameter or ellipse of the inner edge layer and outer edge layer of the multiple layer golf ball.
1. A method for determining concentricity of a multiple layer golf ball, the method comprising:
positioning a golf ball for non-rotation in a x-ray measurement region of an imaging machine;
taking at least one X, Z image of the golf ball using a first x-ray source, a first camera and a first image intensifier;
taking at least one Y, Z image of the golf ball using a second x-ray source, a second camera and a second image intensifier;
taking at least one X, Y image of the golf ball using a third x-ray source, a third camera and a third image intensifier;
determining a diameter or ellipse dimensions of an inner edge and an outer edge of a layer of the multiple layer golf ball utilizing an edge detection algorithm;
calculating X,Z coordinates of a best fit diameter or ellipse of the inner and outer edges of the multiple layer golf ball;
calculating Y, Z coordinates of a best fit diameter or ellipse of the inner edge and outer edge layer of the multiple layer golf ball;
calculating X, Y coordinates of the a best fit diameter or ellipse of the inner edge and outer edge layer of the multiple layer golf ball;
combining the at least one X, Z image, the at least one Y, Z image and the at least one X, Y image to calculate a 3D distance; and
comparing Y, Z center coordinates, X, Z center coordinates and X, Y center coordinates of a specified layer to determine concentricity of an inner layer within any of the outer layers.
2. The method according to claim 1 further comprising taking a plurality of X, Z images ranging from 2 to 100, taking a plurality of Y, Z images ranging from 2 to 100, and taking a plurality of X, Y images ranging from 2 to 100.
3. The method according to claim 1 wherein the concentricity of the inner and outer edges are calculated using Euclidean distances of the 3D distance between the center of inner sphere or ellipsoid and outer sphere or ellipsoid.
4. The method according to claim 1 wherein the golf ball is held in a suction cup.
5. The method according to claim 1 wherein the golf ball is held in a static fixture.
6. The method according to claim 1 wherein the second X-ray source is perpendicular or substantially perpendicular to the first X-ray source, and the third X-ray source is substantially perpendicular to the second X-ray source.
7. The method according to claim 1 further comprising evaluating the golf ball against a predetermined criteria.
8. The method according to claim 7 further comprising sorting the golf ball according to the evaluation.
9. The method according to claim 1 wherein each layer of the multiple layer golf ball has a visual contrast relative to an adjacent layer.
10. The method according to claim 9 wherein the visual contrast of the adjacent layers is created by different densities or different filler materials.
11. A method for determining concentricity of a multiple layer golf ball, the method comprising:
positioning a golf ball for non-rotation in a x-ray measurement region of an imaging machine;
taking at least one X, Z image of the golf ball using a first x-ray source and a first digital detector;
taking at least one Y, Z image of the golf ball using a second x-ray source and a second digital detector, wherein the second X-ray source is perpendicular or substantially perpendicular to the first X-ray source;
determining a diameter or ellipse dimensions of an inner edge and an outer edge of a layer of the multiple layer golf ball utilizing an edge detection algorithm;
calculating X,Z coordinates of a best fit diameter or ellipse of the inner and outer edges of the multiple layer golf ball;
calculating Y, Z coordinates of a best fit diameter or ellipse of the inner edge and outer edge layer of the multiple layer golf ball;
calculating X, Y coordinates of a best fit diameter or ellipse of the inner edge and outer edge the layer of the multiple layer golf ball;
combining the at least one X, Z image, the at least one Y, Z image and the at least one X, Y image to calculate a 3D distance; and
comparing Y, Z center coordinates, X, Z center coordinates and X, Y center coordinates of a specified layer to determine concentricity of an inner layer within any of the outer layers.
12. The method according to claim 11 further comprising taking a plurality of X, Z images ranging from 2 to 100, taking a plurality of Y, Z images ranging from 2 to 100, and taking a plurality of X, Y images ranging from 2 to 100.
13. The method according to claim 11 wherein the concentricity of the inner and outer edges are calculated using Euclidean distances of the 3D distance between the center of inner sphere or ellipsoid and outer sphere or ellipsoid.
14. The method according to claim 11 wherein the golf ball is held in a suction cup.
15. The method according to claim 11 wherein the golf ball is held in a static fixture.
16. The method according to claim 11 wherein the second X-ray source is perpendicular or substantially perpendicular to the first X-ray source, and the third X-ray source is substantially perpendicular to the second X-ray source.
17. The method according to claim 11 further comprising evaluating the golf ball against a predetermined criteria.
18. The method according to claim 17 further comprising sorting the golf ball according to the evaluation.
19. The method according to claim 11 wherein each layer of the multiple layer golf ball has a visual contrast relative to an adjacent layer.
20. The method according to claim 19 wherein the visual contrast of the adjacent layers is created by different densities or different filler materials.