Based on it, the local texture model is used to adjust every points accurate location.

在此基础上利用局部纹理模型，实现了对特征点位置的进一步准确调整。

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In order to more effectively make use of local features to restore the noise-infected image, a nonlinear filtering algorithm based on local texture direction probability statistic model was proposed.

为了更有效地利用图像的局部特征恢复被噪声感染的图像，基于图像局部纹理方向概率统计模型，提出一种针对混合噪声的非线性滤波算法。

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Removal model based on local variance normalized can remove noise significantly in flat area but slowly and maintains the texture details poorly.

基于局部归一化的局部方差去噪模型在平坦区域去噪明显，但去噪速度慢，而且纹理细节保护欠佳。

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