Conclusion Ultrasonic image texture features were different between normal and infarct myocardium.

结论正常与梗死心肌超声图像纹理特征不同。

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Efficient extraction of image texture features are used on the following support vector machine classifier learning and training have a very important role.

图像纹理特征的有效提取对下面所用到的支持向量机分类器来进行学习和训练有非常重要的作用。

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Base on generalization and analysis of co-occurrence matrix algorithms, a method is proposed that could make fast acquisition of target image texture features and thus implement image retrieval.

在总结和分析共生矩阵算法的基础上，提出了一个快速获取目标图像纹理特征，进而实现图像检索的方法。

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