A new method for texture classification and its application in texture synthesis

机译：一种纹理分类的新方法及其在纹理综合中的应用

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This paper gives an analysis of the matching process in patch-based sampling texture synthesis algorithm, and finds that the matching process takes up most of the time when synthesizing textures. But for a certain type of textures, with their texture features distributed uniformly, we can omit the matching process when they are synthesized, or make the matching roughly. We propose a novel character of images called balance coefficient that can be used to calculate texture standard coefficient and estimate texture standard property, and apply it to texture synthesis. Compared to the time complexity of general patch-based sampling algorithm, our algorithm can accelerate the synthesis and obtain a good result.

机译：本文介绍了基于补丁的采样纹理综合算法中的匹配过程，并发现匹配过程在合成纹理时大部分时间占用。但是对于某种类型的纹理，具有统一分布的纹理特征，我们可以在合成它们时省略匹配过程，或大致使匹配。我们提出了一种称为平衡系数的图像的新颖性，可用于计算纹理标准系数和估计纹理标准属性，并将其应用于纹理合成。与总基于贴剂的采样算法的时间复杂性相比，我们的算法可以加速合成并获得良好的结果。

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《International Conference on Computer Science and Education》|2009年||共6页
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中图分类 TP3-53;
关键词
image classification; image matching; image sampling; image texture; image matching process; patch-based sampling texture synthesis algorithm; texture standard coefficient; texture standard property; texture synthesis; zero-search;

机译：图像分类;图像匹配;图像采样;图像纹理;图像匹配过程;贴片的采样纹理合成算法;纹理标准系数;纹理标准财产;纹理综合;纹理合成;纹理综合;

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A new method for texture classification and its application in texture synthesis

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