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