A Distributed and Parallel Edge Detection Scheme within Spiral Architecture

Xiangjian He, Qiang Wu, Dan Liu, Lihong Zheng

Research output: Book chapter/Published conference paperConference paper

Abstract

In this paper, a parallel and distributed algorithm on Spiral Architecture for edge detection using a star network is proposed. The proposed algorithm is based on Master-Slave model. However, it guarantees a better load balancing among the processors (or nodes) and greatly reduces the traffic from and to the master node. It also requires less processes be created on the master node and hence saves CPU time for less process switches. Our work sees a potential for further speeding up distributed image processing such as object recognition and pattern recognition based on computer clusters.
Original languageEnglish
Title of host publication3rd IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2003
EditorsM.H. Hamza
Place of PublicationCanada
PublisherACTA Press
Pages396-303
Publication statusPublished - 2003
EventInternational Conference on Visualization, Imaging and Image Processing - Benalmádena, Spain, Spain
Duration: 08 Sep 200310 Sep 2003

Conference

ConferenceInternational Conference on Visualization, Imaging and Image Processing
CountrySpain
Period08/09/0310/09/03

Fingerprint Dive into the research topics of 'A Distributed and Parallel Edge Detection Scheme within Spiral Architecture'. Together they form a unique fingerprint.

  • Cite this

    He, X., Wu, Q., Liu, D., & Zheng, L. (2003). A Distributed and Parallel Edge Detection Scheme within Spiral Architecture. In M. H. Hamza (Ed.), 3rd IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2003 (pp. 396-303). ACTA Press.