针对玉米病害叶片彩色纹理图像的特点，提出一种将支持向量机和色度矩分析应用于玉米病害识别的方法。

According to the features of color texture image of maize disease, a method of recognizing disease by using support vector machine (SVM) and chromaticity moments is introduced.

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简要介绍了SVG(可缩放向量图形)的特点和优点，根据“地图元素”的表现方式和组织结构，定义了相关数据结构。

This paper introduces the features and advantages of Scalable Vector Graphics (SVG). Relevant data structure is defined based on the representation and organizing of Map Element.

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针对植物病害彩色纹理图像的特点，提出将支持向量机和色度矩分析方法相结合应用于植物病害识别中。

According to the features of color texture image of plant disease, recognition of plant disease using support vector machine (SVM) and chromaticity moments was introduced.

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