International Journal of Computer Vision

, Volume 40, Issue 1, pp 7–23

Meaningful Alignments

  • Agnès Desolneux
  • Lionel Moisan
  • Jean-Michel Morel
Article

DOI: 10.1023/A:1026593302236

Cite this article as:
Desolneux, A., Moisan, L. & Morel, JM. International Journal of Computer Vision (2000) 40: 7. doi:10.1023/A:1026593302236

Abstract

We propose a method for detecting geometric structures in an image, without any a priori information. Roughly speaking, we say that an observed geometric event is “meaningful” if the expectation of its occurences would be very small in a random image. We discuss the apories of this definition, solve several of them by introducing “maximal meaningful events” and analyzing their structure. This methodology is applied to the detection of alignments in images.

alignment Gestalt Helmnoltz principle probability 

Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • Agnès Desolneux
    • 1
  • Lionel Moisan
    • 1
  • Jean-Michel Morel
    • 1
  1. 1.CMLAENS CachanCachan CedexFrance

Personalised recommendations