Understanding the Hough transform: Hough cell support and its utilization

Klaus Hansen, Jens Damgaard Andersen

18 Citations (Scopus)

Abstract

The Standard Hough Transform (SHT) is used to find lines, circles and other image features in edge maps containing edge points. Edge points which potentially can ‘vote' for a given line (called its ‘line support') are highly dependent of line position and orientation due to the boundedness of images. If accumulator array peaks are used to find lines then peripherally located lines are missed. Uniform feature detection probability in all parts of the image requires normalisation of the accumulator array by the support. The paper describes some further applications of the concept of support when finding lines (e.g. determining dominant directions), and gives some guidelines on the choice of the coordinate system origin.
Original languageEnglish
JournalImage and Vision Computing
Volume15
Issue number3
Pages (from-to)205-218
ISSN0262-8856
DOIs
Publication statusPublished - 1997

Keywords

  • Faculty of Science
  • Hough transform; Curve detection; Hough space cell support; Bias; Parameter quantisation

Fingerprint

Dive into the research topics of 'Understanding the Hough transform: Hough cell support and its utilization'. Together they form a unique fingerprint.

Cite this