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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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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The proposed transform could represent the geometrical features such as edges and texture more sparsely, which is of great benefit to image compression.

多方向多尺度变换能以更稀疏的方式表示图像的边缘和纹理等几何特征，有利于图像压缩。

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