GPU implementation of a clustering based image registration

Seung Hun Yoo, Yun Seok Lee, Sung Up Jo, Chang-Sung Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents GPU(Graphics Processing Unit) implementation of a clustering based image registration method. Since the image registration is an important process in image analysis tasks such as image restoration and image fusion, fast image registration can improve the overall application execution speed. Recently, the commodity GPU is being used in not only 3D graphics rendering but also in general-purpose computation due to an increase in the good price/performance ratio and hardware programmability as well as the huge computing power and speed of the GPU. We implemented clustering-based image registration method on GPU using only transformation of texture coordinations in vertex program and re-sampling in fragment program. Finally, GPU-based image registration speed up nearly 50 percent compared with CPU.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages491-497
Number of pages7
Volume5226 LNCS
DOIs
Publication statusPublished - 2008 Nov 27
Event4th International Conference on Intelligent Computing, ICIC 2008 - Shanghai, China
Duration: 2008 Sep 152008 Sep 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5226 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Conference on Intelligent Computing, ICIC 2008
CountryChina
CityShanghai
Period08/9/1508/9/18

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Keywords

  • Clustering
  • GPU
  • Image registration

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Yoo, S. H., Lee, Y. S., Jo, S. U., & Jeong, C-S. (2008). GPU implementation of a clustering based image registration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5226 LNCS, pp. 491-497). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5226 LNCS). https://doi.org/10.1007/978-3-540-87442-3_61