摘要
论文提出了基于RBF神经网络图像分割参数估计的方法。该方法利用RBF神经网络良好的函数逼近性能,通过RBF神经网络对预处理后的图像有关参数进行估计,得到计算最优分割阈值所需的图像参数。该方法经过实验证明完全能达到图像分割要求。
In this paper,we present a method of estimation of image segmentation parameters based on RBF neural network.In the method,a good approach performance of RBF neural is used.The relevant parameters of the pretreated image,which are used to compute the optimum segmentation threshold,are estimated by the RBF neural network.The request of image segmentation is achieved by the method,which is verified by the experiments.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第30期85-87,共3页
Computer Engineering and Applications
基金
安徽省自然科学基金资助项目(编号:01042310)
关键词
最优阈值
图像分割
RBF神经网络
optimum threshold,image segmentation,RBF neural network