View publication | Laboratory of Mathematical Methods of Image Processing

Title	Fast Parametric Curves Detection Based on Statistical Hypotheses Estimation
Publication type	Journal article
Author(s)	A. E. Levashov, D. V. Yurin
Publication date	2013
Journal	Pattern Recognition and Image Analysis
Volume	23
Issue	4
Page(s)	445-454
Publisher	Pleiades Publishing, Ltd.
Abstract	We propose a new fast and reliable algorithm of parametric curves detection on images. In our approach as well as in many other approaches based on the Hough transform, we analyze the set of points obtained by an edge detector. Edge points are collected into chains of connected pixels, and then they are analyzed as a whole and piecemeal. At first we use randomized methods to reject unsuitable models. It gives us a high performance. Model parameters of fragments remained after randomized methods are estimated by the least squares method and the reliability of the hypothesis is estimated by the chisquare criterion. Then if the chi square criterion shows higher reliability for the merged similar models, we merge the obtained models.
URL	Springer

Show BiBTeX entry


@ARTICLE{*,
  Title = {Fast Parametric Curves Detection Based on Statistical Hypotheses Estimation},
  Author = {A. E. Levashov and D. V. Yurin},
  Journal = {Pattern Recognition and Image Analysis},
  Volume = {23},
  Number = {4},
  Year = {2013},
  Pages = {445--454},
  Publisher = {Pleiades Publishing, Ltd.},
  Language = {english}
}