Gradient detection in discrete log-polar images

  • Authors:
  • A. M. Wallace;D. J. McLaren

  • Affiliations:
  • Department of Computing and Electrical Engineering, Heriot-Watt University, Riccarton, Edinburgh EH14 4AS, UK;Department of Computing and Electrical Engineering, Heriot-Watt University, Riccarton, Edinburgh EH14 4AS, UK

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2003

Quantified Score

Hi-index 0.10

Visualization

Abstract

In a continuous sense, images and gradient operators can be mapped conformally between Cartesian and log-polar (LP) space and the process of gradient detection can be shown to be equivalent. However, gains in the efficiency of processing LP and other retino-cortical image mappings rely on variable sampling with a high resolution fovea and much lower resolution towards the periphery. In this paper, we consider the implementation and evaluation of three strategies for gradient detection in a space-variant, sampled LP geometry.