Detecting shapes in image data

• US 20060098877A1
• Filed: 06/28/2005
• Published: 05/11/2006
• Est. Priority Date: 11/09/2004
• Status: Abandoned Application

• Current Assignee: National ICT Australia Limited
• Original Assignee: National ICT Australia Limited
• Inventors: Barnes, Nick, Loy, Gareth
• Application Number:
  US11/169,288
• Publication Number:
  US 20060098877A1
• Time in Patent Office: Days
• US Class Current: 382/203
• CPC Class Codes: G06V 10/421 by analysing segments intersecting the pattern
• CPC Class Codes: G06V 10/48 by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation
• CPC Class Codes: G06V 20/582 of traffic signs

Abstract

This invention concerns a method for detecting shapes in image data. In particular but not exclusively the method concerns the detection of regular polygons in scanline data. The method includes identifying intensity gradient vectors in the image. Then each point at an identified intensity gradient is considered to be on the side of the shape. Voting is then performed for possible centres of the shape that are in the direction of the gradient intensity vector. The centre of that shape is determined from the votes. In further aspects the invention concerns software and computers programmed to perform the method.

Claims

1. A method for detecting in image data regular polygon shapes having three or more straight sides of equal length, the method comprising:

reading the image data;

identifying intensity gradient vectors in the image, each intensity gradient vector being substantially perpendicular to a side of the shape;

considering each point at an identified intensity gradient to be on the side of the shape;

voting for possible centers of the shape using the gradient intensity vector; and

determining the center of that shape from the votes.

2. The method for detecting in image data regular polygon shapes according to claim 1, wherein voting includes the step of multiplying the angular value of the vector of the intensity gradient of each point on the side of the shape by the number of sides of the shape, and weighting one or more votes by the angular multiplied vector.

3. The method for detecting in image data regular polygon shapes according to claim 1, wherein voting comprises constructing one or more vote images that are used in determining the center of the shape.

4. The method for detecting in image data regular polygon shapes according to claim 3, wherein the vote images are typically the same size as the image data.

5. The method for detecting in image data regular polygon shapes according to claim 3, wherein a first vote image is constructed by awarding, for each point on the side of the shape, positive votes to points deemed to be candidate centers of the shape, and awarding negative votes to points deemed not to be candidate centers.

6. The method for detecting in image data regular polygon shapes according to claim 5, wherein the candidacy for a points being a center or not is determined using mathematical methods.

7. The method for detecting in image data regular polygon shapes according to claim 6, wherein the mathematical method is based on a radius of the shape that is taken to be half the shortest distance across the shape, or the shortest distance from any side to the center.

8. The method for detecting in image data regular polygon shapes according to any one of claims 7, wherein weighting one or more votes by the angular multiplied vector comprises constructing a second vote image.

9. The method for detecting in image data regular polygon shapes according to claim 8, the second vote image is constructed by awarding for each point on the side of the shape, positive votes to points deemed to be candidate centers of the shape and adding the angular multiplied vector, and awarding negative votes to points deemed not to be candidate centers and subtracting the angular multiplied vector.

10. The method for detecting in image data regular polygon shapes according to claim 9, wherein the angular multiplied vector is resolved into x and y components and the addition and subtraction operations are performed on x and y components of the vote.

11. The method for detecting in image data regular polygon shapes according to claim 5, wherein determining the center of the shape comprises combining vote images by multiplying corresponding point vote values.

12. The method for detecting in image data regular polygon shapes according to claim 5, wherein points deemed to be candidate centers consists of a single pixel.

13. The method for detecting in image data regular polygon shapes according to claim 1, wherein reading of image data is performed using a scanline algorithm.

14. Computer software able to perform the method of claim 1, when installed on a computer.

15. A programmed computer able to perform the method of claim 1.