%0 Journal Article
%T 基于六维前馈神经网络模型的图像增强算法<br>Image enhancement algorithm based on six dimensional feedforward neural network model
%A 张宪红
%A 张春蕊&lt
%A br&gt
%A ZHANG Xianhong
%A ZHANG Chunrui
%J 山东大学学报（工学版）
%D 2018
%R 10.6040/j.issn.1672-3961.0.2018.063
%X 摘要： 针对滤波去噪对边缘造成的弱化、部分采集图像不清晰以及对比度低的问题,在充分分析模型的动力学性质的基础上,提出一种基于六维前馈神经网络模型的图像增强算法。试验表明:基于六维前馈神经网络模型的图像增强算法可以更好地达到图像增强效果。与其它几种增强算法相比,增强效果清晰,且算法更优。<br>Abstract: Aiming at the problems of weakening the edges caused by filtering denoising, partially indistinct images and low contrast, an image enhancement algorithm based on the six dimension feedforward neural network model was proposed on the basis of fully analyzing the dynamic properties of the model. The experiment showed that the image enhancement algorithm based on the six dimensional feedforward neural network model could better achieve a very good enhancement effect. Compared with other enhancement algorithms, the enhancement effect was clearer and the algorithm was better
%K 神经网络
%K 动力系统
%K 图像处理
%K 图像增强
%K 六维前馈神经网络模型
%K &lt
%K br&gt
%K image enhancement
%K neural network
%K six dimensional feed-forward neural network model
%K dynamic system
%K image processing
%U http://gxbwk.njournal.sdu.edu.cn/CN/10.6040/j.issn.1672-3961.0.2018.063