This paper proposes an algorithm of image segmentation based on pattern classification according to the features of soil microphotographs.

该文针对土壤显微图片特征，基干模式分类对图象实施分割；

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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。

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According to the rice spectral features of hyperspectral image data acquired during the rice is growing, a hybrid decision tree classification algorithm dealing with the variety of rice is developed.

根据水稻生长期的高光谱数据的光谱特征，设计了一个混合决策树分类算法。

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