A Distributed and Parallel Edge Detection Scheme within Spiral Architecture

Xiangjian He; Qiang Wu; Dan Liu; Lihong Zheng

A Distributed and Parallel Edge Detection Scheme within Spiral Architecture

Xiangjian He, Qiang Wu, Dan Liu, Lihong Zheng

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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 language	English
Title of host publication	3rd IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2003
Editors	M.H. Hamza
Place of Publication	Canada
Publisher	ACTA Press
Pages	396-303
Publication status	Published - 2003
Event	International Conference on Visualization, Imaging and Image Processing - Benalmádena, Spain, Spain Duration: 08 Sept 2003 → 10 Sept 2003

Conference

Conference	International Conference on Visualization, Imaging and Image Processing
Country/Territory	Spain
Period	08/09/03 → 10/09/03

Cite this

@inproceedings{8884e61325de4a53b490b4ba8768d802,

title = "A Distributed and Parallel Edge Detection Scheme within Spiral Architecture",

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.",

author = "Xiangjian He and Qiang Wu and Dan Liu and Lihong Zheng",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = Canada: ACTA Press, 2003. editor/s (773b) = M H Hamza; Event dates (773o) = 08-09-2003-10-09-2003; Parent title (773t) = International Conference on Visualization, Imaging and Image Processing. ISSNs: 1482-7921; ; International Conference on Visualization, Imaging and Image Processing ; Conference date: 08-09-2003 Through 10-09-2003",

year = "2003",

language = "English",

pages = "396--303",

editor = "M.H. Hamza",

booktitle = "3rd IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2003",

publisher = "ACTA Press",

address = "Canada",

}

TY - GEN

T1 - A Distributed and Parallel Edge Detection Scheme within Spiral Architecture

AU - He, Xiangjian

AU - Wu, Qiang

AU - Liu, Dan

AU - Zheng, Lihong

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = Canada: ACTA Press, 2003. editor/s (773b) = M H Hamza; Event dates (773o) = 08-09-2003-10-09-2003; Parent title (773t) = International Conference on Visualization, Imaging and Image Processing. ISSNs: 1482-7921;

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

M3 - Conference paper

SP - 396

EP - 303

BT - 3rd IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2003

A2 - Hamza, M.H.

PB - ACTA Press

CY - Canada

T2 - International Conference on Visualization, Imaging and Image Processing

Y2 - 8 September 2003 through 10 September 2003

ER -

A Distributed and Parallel Edge Detection Scheme within Spiral Architecture

Abstract

Conference

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