Pseudo-Linear Scale-Space Theory

  • Authors:
  • Luc Florack;Robert Maas;Wiro Niessen

  • Affiliations:
  • Image Sciences Institute, Department of Computer Science, Utrecht University, Padualaan 14, NL-3584 CH Utrecht, The Netherlands. Luc.Florack@cs.uu.nl;Image Sciences Institute, University Hospital Utrecht, Heidelberglaan 100, NL-3584 CX Utrecht, The Netherlands. Robert.Maas@isi.uu.nl;Image Sciences Institute, University Hospital Utrecht, Heidelberglaan 100, NL-3584 CX Utrecht, The Netherlands. Wiro.Niessen@isi.uu.nl

  • Venue:
  • International Journal of Computer Vision
  • Year:
  • 1999

Quantified Score

Hi-index 0.00

Visualization

Abstract

It has been observed that linear, Gaussian scale-space, and nonlinear, morphological erosion and dilationscale-spaces generated by a quadratic structuring functionhave a lot in common. Indeed, far-reaching analogies have been reported,which seems to suggest the existence of an underlying isomorphism. However, an actual mapping appears to be missing.In the present work a one-parameter isomorphism is constructed in closed-form, which encompasses linear and both types of morphological scale-spaces as (non-uniform) limiting cases. The unfolding of the one-parameter family provides ameans to transfer known results from one domain to the other. Moreover, for anyfixed and non-degenerate parameter value one obtains a novel type of“pseudo-linear” multiscale representation that is, in a precise way, “in-between” the familiar ones. This is of interest in its own right, as itenables one to balance pros and cons of linear versus morphological scale-space representations in any particular situation.