Advances on Watershed Processing on GPU Architecture

  • André Körbes
  • Giovani Bernardes Vitor
  • Roberto de Alencar Lotufo
  • Janito Vaqueiro Ferreira
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6671)

Abstract

This paper presents an overview on the advances of watershed processing algorithms executed on GPU architecture. The programming model, memory hierarchy and restrictions are discussed, and its influence on image processing algorithms detailed. The recently proposed algorithms of watershed transform for GPU computation are examined and briefly described. Its implementations are analyzed in depth and evaluations are made to compare them both on the GPU, against a CPU version and on two different GPU cards.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • André Körbes
    • 1
  • Giovani Bernardes Vitor
    • 2
  • Roberto de Alencar Lotufo
    • 1
  • Janito Vaqueiro Ferreira
    • 2
  1. 1.School of Electrical and Computer Engineering (Department of Computer Engineering and Industrial Automation)University of CampinasCampinasBrazil
  2. 2.School of Mechanical EngineeringUniversity of CampinasCampinasBrazil

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