摘要
针对二值图像处理,抑制噪声改善图像质量,提出一种空间FN神经网络方法,在FN神经元上组合扩散微分方程实现图像的增强。首先对含噪二值图像进行阈上编码,然后对快变电压和慢变电压矩阵进行四邻域方向梯度模板滑动处理,将结果代入导热函数系数随后代入改进FN模型中进行处理。实验表明经过该算法处理可以较好地去除噪声并且保留边缘细节。
For the purpose of improving the quality of binary image and restraining its noise,a spatial FN neural network which consists of diffusion equation in FN is proposed to enhance the quality of image in this paper.First of all,threshold encode on binary image with noise should be completed.Then fast change voltage matrix and slow change voltage matrix are processed by the slide template of four neighbourhood＇s direction of gradient.Next,take the results into the function of thermal conductivity coefficient and take the above results into the improved FN model for processing.
出处
《工业控制计算机》
2015年第12期21-22,共2页
Industrial Control Computer
关键词
二值图像
去噪
神经网络
binary image
denosing
neural network
