Stream processing of geometric and central moments using high precision summed area tables

  • Authors:
  • Chris Messom;Andre Barczak

  • Affiliations:
  • Institute of Information and Mathematical Sciences, Massey University, New Zealand;Institute of Information and Mathematical Sciences, Massey University, New Zealand

  • Venue:
  • ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
  • Year:
  • 2008

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Abstract

This paper introduces a stream programming based design of the zero and higher order central moments that use an integral image or summed area data structure of geometric moments. The stream programming algorithm runs on a general purpose graphics processing unit (GPGPU) that are becoming commodity hardware, giving real-time performance even for large image sizes and a large number of scan window sizes.