Real-time skeletonization using FPGA

Ki Hoon Kim, Pham Dai Xuan, Pham Cong Thien, Jae Wook Jeon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Thinning algorithms(or skeletonization) that extract feature parameters from an image are widely used in image processing. One of the most important issues in thinning is to reduce the execution time. Thus, many thinning algorithms have been proposed. But few attempts have been made to implement the thinning algorithms in real-time. The implementation of real-time skeletonization that has a large number of calculations is very difficult. This paper proposes hardware architecture that can output the thinned image to synchronize with the input image. The proposed architecture is implemented using the FPGA(Field Programable Gate Array) based vision system.

Original languageEnglish
Title of host publicationICCAS 2007 - International Conference on Control, Automation and Systems
Pages1182-1186
Number of pages5
DOIs
StatePublished - 2007
EventInternational Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of
Duration: 17 Oct 200720 Oct 2007

Publication series

NameICCAS 2007 - International Conference on Control, Automation and Systems

Conference

ConferenceInternational Conference on Control, Automation and Systems, ICCAS 2007
Country/TerritoryKorea, Republic of
CitySeoul
Period17/10/0720/10/07

Keywords

  • FPGA
  • Skeletonization
  • Thinning algorithm

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