MRC image recognition based on neural network

L. Wenjuan, Cheng Huaiying, Wang Yuzhi, Fu Min
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Abstract

Traditional image during MRC measurement needs eyes to judge, which exists the subjective error. This paper describes theoretical framework, design and testing process of objective measurement MRC. By using BP neural network model, MRC image can be recognized automatically and reduces subjective error. The experimental results show that three layers BP neural networks can effectively identify the image by choosing appropriate characteristic value.
基于神经网络的MRC图像识别
传统的MRC测量图像需要人眼判断,存在主观误差。本文介绍了客观测量MRC的理论框架、设计和测试过程。利用BP神经网络模型实现MRC图像的自动识别,减少了主观误差。实验结果表明,通过选择合适的特征值,三层BP神经网络可以有效地识别图像。
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