This paper investigates the segmentation of multi-target image based on SVM approach combining feature extraction of kernel PCA.

实验结果表明，结合核主成份分析的特征提取，支持向量机方法是一种很有前景的多目标图像分割技术。

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In the end, for the extracted features, we used PCA for dimension reduction and SVM for recognition.

最后对于所提取的特征利用PCA降维后送入支持向量机中分类。

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In the end, for the extracted features, we used PCA for dimension reduction and SVM for recognition.

最后对于所提取的特征利用PCA降维后送入支持向量机中分类。

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