At first, extracting features of chromaticity moments of texture image of grape disease is done, then classification method of SVM for recognition of grape disease is discussed.
首先利用色度矩提取葡萄病害叶片纹理图像的特征向量，然后将支持向量机分类方法应用于病害的识别。
At first, the extracting features of chromaticity moments of texture image of maize disease is done, then classification method of SVM for recognition of maize disease is discussed.
首先利用色度矩提取玉米病害叶片纹理图像的特征向量，然后将支持向量机分类方法应用于病害的识别。
Extracting effective features for texture description and classification is always a difficult problem in texture analysis.
提取有效的特征用于纹理描述和分类一直是纹理分析的难点。
Appropriate texture features are selected with this method to serve image classification and simulative results are discussed.
使用这一方法挑选合适的纹理特征用于图像分类，并对结果进行分析。
Appropriate texture features are selected with this method to serve image classification and simulative results are discussed.
使用这一方法挑选合适的纹理特征用于图像分类，并对结果进行分析。
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