Parallel implementation of image understanding tasks on gated-connection networks

D. B. Shu, J. G. Nash, K. Kim

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

Abstract

In this paper, we present a summary of our research in design and implementation of parallel algorithms for image computing tasks on an enhanced mesh connected computer called Gated-Connection Network (GCN). The GCN allows dynamic reconfiguration of mesh interconnectivity using switches located at the grid points. The flexibility of the GCN leads to significant improvements in time complexity of several image computing tasks. Line detection and finding connected components are some of the problems studied for low and intermediate level processing. Parallel implementation of symbolic computation tasks for image understanding and pattern recognition is another class of problems addressed in this paper.

Original languageEnglish
Title of host publicationProceedings - 5th International Parallel Processing Symposium, IPPS 1991
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages216-223
Number of pages8
ISBN (Electronic)0818691670, 9780818691676
DOIs
StatePublished - 1991
Event5th International Parallel Processing Symposium, IPPS 1991 - Anaheim, United States
Duration: 30 Apr 19912 May 1991

Publication series

NameProceedings - 5th International Parallel Processing Symposium, IPPS 1991

Conference

Conference5th International Parallel Processing Symposium, IPPS 1991
Country/TerritoryUnited States
CityAnaheim
Period30/04/912/05/91

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