首先利用色度矩提取植物病害叶片的特征向量，然后利用支持向量机分类方法进行病害的识别。
At first extracting features of chromaticity moments was done then classification method of SVM for recognition of plant disease was discussed.
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。
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.
然后根据特征点的几何定义，利用轮廓线的位置、曲率等信息自动提取特征点。
Characteristic points can be extracted by considering the geometry definition, the position and curvature of each point on the contours.
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