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数字抠像的最新研究进展
  • ISSN号：0254-4156
  • 期刊名称：自动化学报
  • 时间：2012.10.15
  • 页码：1571-1584
  • 分类：TP[自动化与计算机技术]
  • 作者机构：[1]中国科学院深圳先进技术研究院 ,深圳 518055, [2]中山大学, 广州 510275
  • 相关基金：国家重点基础研究发展计划（973计划）（2010CB732606）,国家自然科学基金（81171402,30928030）资助
  • 相关项目：体部放疗中靶区自动勾画与跟踪的动态配准理论研究
作者： Zhang, Zhan-Peng|Zhu, Qing-Song|Xie, Yao-Qin|
关键词： 数字抠像, 自然图像抠像, 图像分割, 图像处理, Digital matting, natural image matting, image segmentation, image processing
中文摘要：

数字抠像是图像处理、视频编辑和电影制作中的关键技术.通过数字抠像,从图像或视频的背景中精确地分离出前景, 是计算机视觉领域的重要问题.本文首先介绍了目前数字抠像的交互方式,然后把抠像技术分为基于颜色采样、 基于像素相似性、基于能量函数以及基于机器学习的四类技术,介绍和分析了其中的典型算法和最新研究成果, 并对这些算法的测试结果进行了定量和定性比较,最后总结了数字抠像技术目前的研究状况和未来的发展方向.

英文摘要：

Digital matting is the key technology in image processing, video editing and film-making applications. It refers to the problem of extracting the foreground objects in the images or videos accurately, which is an important issue in the field of computer vision. In this paper, the interaction modes for digital matting are introduced firstly. After that, matting techniques are divided into four categories： color sampling based, pixel affinity based, energy function based and machine learning based. Classic algorithms and the latest research progress are presented and analyzed, followed by quantitative and qualitative evaluations of these techniques. Finally, the research progress is summarized and future research directions are suggested.

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期刊信息
  • 《自动化学报》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国自动化学会 中国科学院自动化研究所
  • 主编：王飞跃
  • 地址：北京东黄城根北街16号
  • 邮编：100717
  • 邮箱：aas@ia.ac.cn
  • 电话：010-64019820
  • 国际标准刊号：ISSN：0254-4156
  • 国内统一刊号：ISSN：11-2109/TP
  • 邮发代号:2-180
  • 获奖情况:
  • 1997年获全国优秀期刊奖,1985、1990、1996、2000年获中国科学院优秀期刊二等奖,2002年获国家期刊奖
  • 国内外数据库收录:
  • 美国数学评论（网络版）,德国数学文摘,荷兰文摘与引文数据库,美国工程索引,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:27550