Title :
Distributed image processing on spiral architecture
Author :
Wu, Qiang ; He, Xiangjian ; Hintz, Tom
Author_Institution :
Dept. of Comput. Syst., Univ. of Technol., Sydney, NSW, Australia
Abstract :
Improving computation efficiency is a key issue in image processing, especially in edge detection, which is very computationally intensive. With the development of real-time applications of image processing, fast processing response is becoming more critical. In this paper, a technique for distributed image processing on a spiral architecture is proposed, which provides a platform for speeding up image processing based on clusters.
Keywords :
client-server systems; image processing; parallel architectures; real-time systems; workstation clusters; clusters; computation efficiency; distributed image processing; edge detection; real-time application; spiral architecture; Computer architecture; Concurrent computing; Costs; Helium; Image edge detection; Image processing; Local area networks; Postal services; Power system modeling; Spirals;
Conference_Titel :
Algorithms and Architectures for Parallel Processing, 2002. Proceedings. Fifth International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7695-1512-6
DOI :
10.1109/ICAPP.2002.1173556
