Title :
Genetic training algorithm for morphological filters
Author :
Nong, Yu ; Yushu, Li ; Qifu, Xu
Author_Institution :
Air Force Coll. of Aeronaut. Technol., Henan, China
Abstract :
It is widely accepted that the design of morphological filters which are optimal in some sense is a difficult task. We propose a new method which is the genetic training algorithm for morphological filters (GTAMF). The GTAMF incorporates two new operators of crossover and mutation called curved cylinder crossover and master-slave mutation. Experimental results show that this method is good in practice and easy to extend. Morphological filters formed by this method are capable of responding complicated patterns in images
Keywords :
filtering theory; genetic algorithms; image processing; mathematical morphology; crossover; curved cylinder crossover; genetic training algorithm; image patterns; master-slave mutation; morphological filters; mutation; optimal filter design; Biomedical image processing; Educational institutions; Filtering; Filters; Genetic mutations; Gray-scale; Image coding; Image restoration; Master-slave; Shape;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.894535
