摘要
回转窑内图象增强方法是将遗传神经网用于回转窑内图象增强,即针对图象的特征使用遗传算法优化网络的参数,最终获得用于回转窑内图象增强的遗传神经网。具体介绍了遗传神经网,回转窑内图象的增强和仿真结果。
The intensification of the image inside rotating kiln is implemented by using genetic neural network method. Then the network parameters are optimized by genetic algorithm based on the features of the image and the generic neural network used for image intensification is obtained. The generic neural network and the simulation result of the intensification are introduced concretely.
出处
《自动化仪表》
CAS
北大核心
2000年第8期14-16,共3页
Process Automation Instrumentation
关键词
图象处理
增强处理
回转窑
遗传神经网
水泥
Image processing Intensification processing Rotating kiln Genetic neural network