DocumentCode
3167184
Title
Parallel genetic algorithms for optimizing morphological filters
Author
Kraft, P. ; Marshall, S. ; Soraghan, J.J. ; Harvey, N.R.
Author_Institution
Tech. Univ. Hamburg-Harburg, Germany
fYear
1995
fDate
4-6 Jul 1995
Firstpage
762
Lastpage
766
Abstract
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 speed, parallelization efficiency and quality. Quality means, in this context, the fitness of the best chromosome, which is an objective measure for the performance of the corresponding morphological filter in a particular environment
Keywords
digital filters; genetic algorithms; image processing; mathematical morphology; optimisation; parallel algorithms; best chromosome fit; computation speed; design methods; morphological filters; multiprocessor computer; optimization; parallel genetic algorithms; parallelization efficiency; performance; quality;
fLanguage
English
Publisher
iet
Conference_Titel
Image Processing and its Applications, 1995., Fifth International Conference on
Conference_Location
Edinburgh
Print_ISBN
0-85296-642-3
Type
conf
DOI
10.1049/cp:19950762
Filename
465629
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