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基于随机纹理的代价滤波式抠图

陈秋凤 申群太 刘鹏飞

陈秋凤, 申群太, 刘鹏飞. 基于随机纹理的代价滤波式抠图[J]. 电子与信息学报, 2015, 37(11): 2578-2586. doi: 10.11999/JEIT150143
引用本文: 陈秋凤, 申群太, 刘鹏飞. 基于随机纹理的代价滤波式抠图[J]. 电子与信息学报, 2015, 37(11): 2578-2586. doi: 10.11999/JEIT150143
Chen Qiu-feng, Shen Qun-tai, Liu Peng-fei. Cost Filtered Matting with Radom Texture Features[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2578-2586. doi: 10.11999/JEIT150143
Citation: Chen Qiu-feng, Shen Qun-tai, Liu Peng-fei. Cost Filtered Matting with Radom Texture Features[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2578-2586. doi: 10.11999/JEIT150143

基于随机纹理的代价滤波式抠图

doi: 10.11999/JEIT150143
基金项目: 

国家自然科学基金(61473318, 60974048)

Cost Filtered Matting with Radom Texture Features

Funds: 

The National Natural Science Foundation of China (61473318, 60974048)

  • 摘要: 该文针对抠图中前背景颜色歧义这一难题,提出快速随机纹理算法来对颜色信息进行有效的补偿,先对原始图像进行稠密抽取得到初始纹理,后经随机投影降维,再根据前背景交叠度选择最优通道生成随机纹理图。结合生成的纹理信息,设计了空间、颜色、纹理联合样本选择指标。接着,综合考虑局部近邻和非局部近邻的作用,对样本选择代价进行滤波。最后论证近邻迭代滤波与全局能量方程平滑的关系,推导了后期迭代平滑公式。实验结果表明,基于随机纹理的代价滤波式抠图在前背景颜色分布近似时,能够取得视觉和定量上更好的结果。
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  • 被引次数: 0
出版历程
  • 收稿日期:  2015-01-27
  • 修回日期:  2015-06-29
  • 刊出日期:  2015-11-19

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