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Audio Signal Processing

Corner-based-image-matching

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Corner-based image matching

Details

Inventors: Rao, Kashipati G.;
Assignee: Texas Instruments Incorporated (Dallas, TX)
Primary Examiner: Boudreau; Leo H.
Assistant Examiner:
Attorney, Agent or Firm: Griebenow; L. Joy, Hiller; William E., Donaldson; Richard L.

An image matching method that uses corners of objects, rather than their edges, to determine if the objects match. Corner locations are obtained by finding changes of curvature in the edge boundaries of the image. The corners of a reference image are used to create a distance array, which is used as a look-up table to determine how far each corner of a test array is from a corresponding corner of the reference array. A close corner-to-corner relationship indicates a good match.

DETAILED DESCRIPTION One aspect of the invention is a method of matching a test image to a reference image.
A reference image is obtained and its edge boundaries are determined.
From the edge boundaries, the corners are determined.
These corners are used to calculate a distance array, which represents distances of each array location to the nearest corner.
The test image to be matched is then obtained, and its edge boundaries determined.
From the test image edge boundaries, the corners are determined.
For each corner, the distance array is used to determine the distance of each corner of the test image from a corner of the reference image.
These distances are evaluated, with the smallest distances representing the best per corner match.
If the distances are summed, the smallest sum represents the best overall match.
A technical advantage of the invention is that it provides an image matching method that requires less computational effort than conventional methods.
The method is more efficient in terms of time and memory, and produces results comparable with other chamfer matching methods.

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