DocumentCode :
2665559
Title :
Morphological filter optimization processing based on a hybrid algorithm
Author :
Yeli, Li ; Feng, Du ; Likun, Lu
Author_Institution :
Sch. of Inf.&Machine Electr. Eng., Beijing Inst. of Graphic Commun., Beijing
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
53
Lastpage :
55
Abstract :
Through heuristic search strategy it combined the niche technology, the simplex algorithm with the adaptive genetic algorithm to optimize the filtering parameters in order to solve filtering specific problems. Experiment showed that the hybrid strategy is to search the optimal filter parameters quickly and efficiently. After training the effect of using mathematical morphology filter to remove noise in the image was good.
Keywords :
filtering theory; genetic algorithms; image denoising; mathematical morphology; adaptive genetic algorithm; heuristic search strategy; hybrid algorithm; image noise removal; mathematical morphology filter; morphological filter optimization processing; simplex algorithm; Adaptive filters; Automation; Communication system control; Electronic mail; Filtering algorithms; Genetic algorithms; Graphics; Morphology; Wheels; Image noise processing; Morphological filters; Niche genetic algorithm; Simplex;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
Type :
conf
DOI :
10.1109/CHICC.2008.4605487
Filename :
4605487
Link To Document :
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