摘要
本文提出一种采用组合神经网络对图像边缘检测的方法．该组合神经网络由自组织竞争型神经网络和ＢＰ神经网络所组成，结合遗传算法，通过学习与训练，可实现对图像的边缘检测．
A method of image edge detection using the combined neural network is proposed in the paper. The combined neural network is composed of self-organizing competitive neural network and BP neural networks. With genetic algorithms, the image edge detection of lumpy materials is realized by learning and training.
出处
《量子电子学报》
CAS
CSCD
北大核心
2001年第5期408-410,共3页
Chinese Journal of Quantum Electronics
基金
浙江省自然科学基金资助项目(699065)
国家质量监督检验检疫总局技术创新资助项目(D98-A01-08).
