Arc Recognition on Irregular Isothetic Grids and Its Application to Reconstruction of Noisy Digital Contours

  • Jean-Luc Toutant
  • Antoine Vacavant
  • Bertrand Kerautret
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7749)

Abstract

In the present paper, we introduced an arc recognition technique suitable for irregular isothetic object. It is based on the digital inter-pixel (DIP) circle model, a pixel-based representation of the Kovalevsky’s circle. The adaptation to irregular image structurations allows us to apply DIP models for circle recognition in noisy digital contours. More precisely, the noise detector from Kerautret and Lachaud (2009) provides a multi-scale representation of the input contour with boxes of various size. We convert them into an irregular isothetic object and, thanks to the DIP model, reduce the recognition of arcs of circles in this object to a simple problem of point separation.

Keywords

Arc recognition Irregular isothetic grid Digital circle 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jean-Luc Toutant
    • 1
    • 2
  • Antoine Vacavant
    • 1
    • 2
  • Bertrand Kerautret
    • 3
  1. 1.ISITClermont Université, Université d’AuvergneClermont-FerrandFrance
  2. 2.CNRS, UMR6284Clermont-FerrandFrance
  3. 3.Université de Nancy, LORIA, UMR7503 CNRSFrance

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