Geodesic Attributes Thinnings and Thickenings

  • Vincent Morard
  • Etienne Decencière
  • Petr Dokladal
Conference paper

DOI: 10.1007/978-3-642-21569-8_18

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6671)
Cite this paper as:
Morard V., Decencière E., Dokladal P. (2011) Geodesic Attributes Thinnings and Thickenings. In: Soille P., Pesaresi M., Ouzounis G.K. (eds) Mathematical Morphology and Its Applications to Image and Signal Processing. ISMM 2011. Lecture Notes in Computer Science, vol 6671. Springer, Berlin, Heidelberg

Abstract

An attribute opening is an idempotent, anti-extensive and increasing operator that removes, in the case of binary images, all the connected components (CC) which do not fulfil a given criterion. When the increasingness property is dropped, more general algebraic thinnings are obtained. We propose in this paper, to use criteria based on the geodesic diameter to build algebraic thinnings for greyscale images. An application to the extraction of cracks is then given to illustrate the performance of the proposed filters. Finally, we will discuss the advantages of these new operators compared to other methods.

Keywords

Geodesic attributes diameter elongation tortuosity thinnings thickenings 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Vincent Morard
    • 1
  • Etienne Decencière
    • 1
  • Petr Dokladal
    • 1
  1. 1.CMM-Centre de Morphologie Mathématique, Mathématiques et SystèmesMINES ParisTechFontainebleau CEDEXFrance

Personalised recommendations