Randomized or probabilistic Hough transform: unified performance evaluation

DOI10.1016/S0167-8655(00)00077-5zbMath0985.68701MaRDI QIDQ2783097

Satu Alaoutinen, Heikki Kälviäinen, Nahum Kiryati

Publication date: 2 June 2002

Published in: Pattern Recognition Letters (Search for Journal in Brave)

zbMATH Keywords

computer vision

Mathematics Subject Classification ID

Computing methodologies and applications (68U99) Machine vision and scene understanding (68T45)

Related Items (4)

Speed up the computation of randomized algorithms for detecting lines, circles, and ellipses using novel tuning- and LUT-based voting platform ⋮ Geometric entities voting schemes in the conformal geometric algebra framework ⋮ Detecting curved edges in noisy images in sublinear time ⋮ Detection of incomplete ellipse in images with strong noise by iterative randomized Hough transform (IRHT)

This page was built for publication: Randomized or probabilistic Hough transform: unified performance evaluation