View publication | Laboratory of Mathematical Methods of Image Processing

Title	Scale-space line curvature estimation for straight line and circle detection
Publication type	Journal article
Author(s)	E.V.Semeikina, D.V.Yurin, A.S.Krylov, Kuo-Liang Chung, Yong-Huai Huang
Publication date	2012
Journal	Pattern Recognition and Image Analysis
Volume	22
Issue	1
Page(s)	360-370
Publisher	Springer
Abstract	A scale-space algorithm for estimating the local curvature of lines (edges or isolines) is presented. Two variants of edge curvature estimation based on differential invariants are suggested and compared. The first variant uses the edge curvature formula derived in the paper and the second is based on image preprocessing, which allows one to use the isoline curvature formula for edge curvature estimation. An analysis of scale selection needed to reach a desired accuracy is presented. Also, noise influence analysis has been performed. The application of curvature estimation to detection of straight lines and circles is suggested and implemented. Curvature information usage in parametric curve detection speeds up search algorithms and makes the results more stable.
URL	Springer

Show BiBTeX entry


@ARTICLE{*,
  Title = {Scale-space line curvature estimation for straight line and circle detection},
  Author = {E. V. Semeikina and D. V. Yurin and A. S. Krylov and Kuo-Liang Chung and Yong-Huai Huang},
  Journal = {Pattern Recognition and Image Analysis},
  Volume = {22},
  Number = {1},
  Year = {2012},
  Pages = {360--370},
  Publisher = {Springer},
  Language = {english}
}