Parallel image matching on a distributed system

Jia You, W. P. Zhu, E. Pissaloux

Research output: Journal article publicationJournal articleAcademic researchpeer-review


Image matching based on Image feature pixels involves heavily iterated computation and frequent memory access. The key to increase the speed is to employ parallelism on either parallel machines or workstation clusters. This paper presents the development of a parallel image matching system which uses a divide-and-conquer method to implement the proposed hierarchical matching scheme on a networked workstation cluster. Our investigation shows that a distributed workstation cluster can best meet the demand of high computation and memory access in image processing. The performance of our proposed matching scheme is evaluated in terms of execution time.
Original languageEnglish
Pages (from-to)381-385
Number of pages5
JournalComputer Systems Science and Engineering
Issue number6
Publication statusPublished - 1 Nov 1997
Externally publishedYes


  • Distance transform
  • Distributed system
  • Hierarchical image matching
  • Interesting points
  • Message-passing
  • Multiprocessors
  • Parallel processing
  • Workstation cluster

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'Parallel image matching on a distributed system'. Together they form a unique fingerprint.

Cite this