| 一种新的结构自适应纹理合成算法 |
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| 引用本文： | 张军,朱为,黄伟强.一种新的结构自适应纹理合成算法[J].小型微型计算机系统,2011,32(2). |
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| 作者姓名： | 张军 朱为 黄伟强 |
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| 作者单位： | 国防科技大学信息系统与管理学院,湖南,长沙,410073 |
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| 基金项目： | 国家自然科学基金项目(60902093)资助 |
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| 摘 要： | 纹理合成是图像修补采用的主流方法,提出一种新的结构自适应纹理合成算法以提高纹理合成质量.首先通过分析图像灰度共生矩阵和灰度行程矩阵的特征参数确定纹理类型,然后对于显著结构纹理图像采用基于结构相似度的匹配准则以提高合成质量.实验结果表明本文提出的自适应算法可以有效提高显著结构纹理图像的合成质量.
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| 关 键 词： | 图像修补 纹理合成 灰度共生矩阵 灰度行程矩阵 结构相似度 |
Novel Structure Adaptive Algorithm for Texture Synthesis |
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| ZHANG Jun,ZHU Wei,HUANG Wei-qiang.Novel Structure Adaptive Algorithm for Texture Synthesis[J].Mini-micro Systems,2011,32(2). |
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| Authors: | ZHANG Jun ZHU Wei HUANG Wei-qiang |
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| Affiliation: | ZHANG Jun,ZHU Wei,HUANG Wei-qiang(Department of Information System & Management,National University of Defense Technology,Changsha 410073,China) |
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| Abstract: | Texture Synthesis is the major method of image completion.We introduce a novel structure adaptive algorithm to improve the quality of texture synthesis.Firstly,we analyze texture features from gray co-occurrence matrix and gray run-length matrix to find the texture type.Then we choose the patch-matching method based on structure similarity for salient structure texture images,thus improve texture synthesis quality.Experimental results demonstrate that the proposed algorithm can improve texture synthesis qua... |
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| Keywords: | image completion texture synthesis gray co-occurrence matrix gray run-length matrix structure similarity |
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