Parallel genetic algorithms for optimizing morphological filters

Several design methods for parallel genetic algorithms (PGAs) optimizing morphological filters are discussed and an optimal scale and machine independent PGA for a loosely coupled, homogeneous or inhomogeneous multiprocessor computer is developed. The optimization is made in terms of computation spe...

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Veröffentlicht in:	Fifth International Conference on Image Processing and its Applications S. 762 - 766
Hauptverfasser:	Kraft, P, Marshall, S, Soraghan, J.J, Harvey, N.R
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	London IEE 1995
Schlagworte:	Computer vision and image processing techniques Optical information, image and video signal processing Optimisation techniques Parallel programming and algorithm theory Pattern recognition image processing parallel algorithms parallelization efficiency parallel genetic algorithms multiprocessor computer best chromosome fit genetic algorithms design methods quality optimisation performance optimization morphological filters computation speed digital filters mathematical morphology
ISBN:	0852966423, 9780852966426
Online-Zugang:	Volltext
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