The realization process comprises the following steps: (1) extracting grey level value characteristic, grey level co-occurrence characteristic or wavelet characteristic from an image to be segmented;
其实现过程是：（1）对待分割图像提取灰度值特征，灰度共生特征或小波特征；
Applying wavelet denoise to improve the test signal, the dynamic characteristic parameters of a overflow valve were obtained by selecting characteristic point of the signal.
此系统应用小波降噪的方法提高测试信号的质量，然后提取信号特征点，得到溢流阀动态特性的各项参数。
The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.
该方法首先利用小波变换和主成分分析对故障信号进行预处理，然后用处理后的故障特征数据对小波神经网络进行训练和测试。
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