Parallel image processing applications on a network of workstations

Concurrent computing on networks of distributed computers has gained tremendous attention and popularity in recent years. In this paper, we use this computing environment for the development of efficient parallel image convolution applications for grey-level images and binary images. Significant spe...

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Veröffentlicht in:	Parallel computing Jg. 21; H. 1; S. 137 - 160
Hauptverfasser:	Lee, Chi-kin, Hamdi, Mounir
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 1995 Elsevier
Schlagworte:	Applied sciences Artificial intelligence Computer science; control theory; systems Convolution algorithm Distributed memory multiprocessor Exact sciences and technology EXPRESS Image processing Network of workstations Pattern recognition. Digital image processing. Computational geometry Network of workstations Image processing Distributed memory multiprocessor EXPRESS Convolution algorithm Multiprocessor Workstation Computation time Convolution Grey level image Prediction Binary image Parallel processing Algorithm Communication
ISSN:	0167-8191, 1872-7336
Online-Zugang:	Volltext
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