The randomized hough transform for spherical images

  • Authors:
  • Akihiko Torii;Atsushi Imiya

  • Affiliations:
  • Graduate School of Science and Technology, Chiba University, Japan;Institute of Media and Information Technology, Chiba University, Japan

  • Venue:
  • CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
  • Year:
  • 2005

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Abstract

We propose the algorithm for detecting great circles on images on a sphere using the Hough transform. Since our Hough transform on images on a sphere is derived on the basis of the duality, the Hough transform employs a dual sphere as the accumulator of the voting procedure. Furthermore, we propose a robust algorithm based on three-point Hough transform and the segmentation of points on the dual sphere using the metric defined on a sphere.