Component concentricity

• US 8,538,132 B2
• Filed: 09/24/2010
• Issued: 09/17/2013
• Est. Priority Date: 09/24/2010
• Status: Expired due to Fees

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Kessler, Patrick, Andre, Bartley K.
• Primary Examiner(s): Johns, Andrew W
• Application Number:
  US12/889,987
• Publication Number:
  US 20120076363A1
• Time in Patent Office: 1,089 Days
• Field of Search: 382/141, 382/151, 382/152, 382/286, 348/86, 348/94, 348/95, 356/614, 356/399, 356/400, 356/401
• US Class Current: 382/151
• CPC Class Codes: G06T 2207/30108 Industrial image inspection
• CPC Class Codes: G06T 7/0006 using a design-rule based approach
• CPC Class Codes: G06T 7/64 of convexity or concavity
• CPC Class Codes: G06T 7/66 of image moments or centre of gravity

Abstract

System and methods for determining a concentricity of a component mounted within an aperture of an electronic device housing. In particular, a method for determining concentricity of a camera includes obtaining an image of a camera mounted within the aperture of the housing and identifying a plurality of circular shapes within the image using a processor. One of the circular shapes represents the aperture in the housing and the other circular shape represents the camera. An offset between two of the plurality of circular shapes is calculated.

Claims

1. A method for determining concentricity of a camera mounted within an aperture of an electronic device housing, the method comprising:

obtaining an image of a camera mounted within the aperture of the housing;

identifying a plurality of circular shapes within the image using a processor;

determining an offset between two of the plurality of circular shapes, wherein one of the circular shapes comprises the aperture in the housing and the other circular shape represents the camera, by;

determining a maximum distance between edges of the two circular shapes;

determining a minimum distance between edges of the two circular shapes; and

calculating a ratio of the maximum and minimum distances.

2. The method of claim 1, wherein the ratio comprises the maximum distance over the minimum distance.

3. The method of claim 1, wherein the ration comprises the minimum distance over the maximum distance.

4. The method of claim 1 further comprising applying filters to the obtained image.

5. The method of claim 4, wherein applying filters comprises applying a threshold to create a binary image.

6. The method of claim 5 wherein the threshold is calibrated to eliminate a background from the image.

7. A method for determining a concentricity of a camera comprising:

capturing an image of a camera mounted within an aperture of a housing;

providing the image to a processor for processing;

discerning an edge of an outer circular shape;

discerning an edge of an inner circular shape, the inner circular shape circumscribed by the outer circular shape; and

computing a concentricity value of the inner circular shape relative to the outer circular shape by computing a ratio of a maximum distance and a minimum distance from the edge of the inner cicular shape and the edge of the outer circular shape.

8. The method of claim 7, wherein discerning the edges of the outer circular shape and the inner circular shape comprises comparing characteristics of adjacent pixels to determine if differences between the characteristics exceed a threshold level.

9. The method of claim 7 comprising:

comparing the concentricity value to a threshold; and

setting a user alert if the concentricity value exceeds the threshold.

10. A method for determining concentricity of a camera mounted within an aperture of an electronic device housing, the method comprising:

obtaining an image of a camera mounted within the aperture of the housing;

identifying an aperture circular shape within the image, representing the aperture in the housing, including identifying an aperture set of pixels that includes each pixel within the aperture circular shape;

identifying a camera circular shape within the image, representing the camera, including identifying a camera set of pixels that includes each pixel within the camera circular shape;

calculating an aperture centroid by;

averaging the rows of the aperture set of pixels; and

averaging the columns of the aperture set of pixels;

calculating a camera centroid by;

averaging the rows of the camera set of pixels; and

averaging the columns of the camera set of pixels;

determining an offset between the aperture circular shape and the camera circular shape from the aperture centroid and the camera centroid.

11. The method of claim 10, wherein:

identifying the aperture circular shape within the image includes;

discerning an aperture edge in the image; and

identifying pixels in the aperture edge and pixels surrounded by in the aperture edge as the aperture set of pixels; and

identifying the camera circular shape within the image includes;

discerning a camera edge in the image; and

identifying pixels in the camera edge and pixels surrounded by in the camera edge as the camera set of pixels.

12. The method of claim 11, wherein:

discerning the aperture edge includes comparing characteristics of adjacent pixels to determine if differences between the characteristics exceed an aperture threshold level; and

discerning the camera edge includes comparing characteristics of adjacent pixels to determine if differences between the characteristics exceed a camera threshold level.

13. The method of claim 10, further comprising:

comparing the offset between the aperture circular shape and the camera circular shape to a threshold; and

setting a user alert if the offset between the aperture circular shape and the camera circular shape exceeds the threshold.