Parallel distance transforms on a linear array architecture

Tsorng Lin Chia*, Kuang Bor Wang, Zen Chen, Der Chyuan Lou

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

3 Scopus citations

Abstract

Distance transformation (DT) has been widely used for image matching and shape analysis. In this paper, a parallel algorithm for computing distance transformation is presented. First, it is shown that the algorithm has an execution time of 6N-4 cycles, for an N×N image using a parallel architecture that requires [N/2] parallel processors. By doing so, the real time requirement is fulfilled and its execution time is independent of the image contents. In addition, a partition method is developed to process an image when the parallel architecture has a fixed number of processing elements (PEs); say two or more. The total execution time for an N×N image by employing a fixed number of PEs is 2[N2/M+2(M-1)], when M is the fixed number of PEs.

Original languageEnglish
Pages (from-to)73-81
Number of pages9
JournalInformation Processing Letters
Volume82
Issue number2
DOIs
StatePublished - 30 04 2002
Externally publishedYes

Keywords

  • Distance transformation
  • Linear array
  • Parallel processing
  • Partition method

Fingerprint

Dive into the research topics of 'Parallel distance transforms on a linear array architecture'. Together they form a unique fingerprint.

Cite this