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
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;
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
DOI :
10.1109/CHICC.2008.4605487