Hough Transform
The Hough Transform is a technique for detecting lines, circles, and other geometric shapes in digital images. Originally patented by Paul Hough in 1962 and popularized in computer vision by Duda and Hart in 1972, the Hough Transform converts edge points in image space to curves in a parameter space (accumulator space), where collinear or co-circular points cluster and become easily identifiable.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Hough, P. V. C. (1962). Method and means for recognizing complex patterns. U.S. Patent 3,069,654. · URL
- Duda, R. O., & Hart, P. E. (1972). Use of the Hough transformation to detect lines and curves in pictures. Communications of the ACM, 15(1), 11–15. · DOI 10.1145/361237.361242
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.