针对自然图像纹理复杂的特点，提出了一种多种信息融合的有监督边界检测方法。

For natural images of complex texture, a supervised boundary detection method using the multi-information fusion was proposed.

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有两种方法获得监督的实践经验。

There are two ways to gain supervised practice experience.

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常用的分类方法有监督分类和非监督分类。

The normal ways are Surpervised classification and Un-supervised classification.

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