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- document image retrieval 文档图像检索
- Novel image retrieval algorithm based on BTC[J]. 引用该论文 赵珊;安志勇;周利华.
- The paper presents a new content-based image retrieval method. 摘要文中提出了一种新的基于多分辨率直方图的图像样本检索方法。
- The thesis is focused on content-based image retrieval (CBIR). 本论文的主要研究内容是基于内容的图像检索。
- Why and when to use document imaging? 为什么、在何时使用document imaging?
- Content-base image retrieval(CBIR) has become an important research. 基于内容的图像检索已经成为图像检索的一个重要研究方向。
- So the content-based image retrieval (CBIR) has been widely researched. 因此,基于内容的图像检索(Content-Based Image Retrieval, CBIR) 已成为解决图像检索问题的研究热点。
- Any file type that can be printed to the Microsoft Office Document Image Writer is supported. 它支持任何可以打印到Microsoft Office Document Image Writer的文件类型。
- In the Name list in the Print dialog box, click Microsoft Office Document Image Writer. 在“打印”对话框中的“名称”列表中,单击“Microsoft Office Document Image Writer”。
- The Office Document Image Writer is installed by default when you install Office 2003. 默认情况下,Office Document Image Writer在安装Office 2003时进行安装。
- Dissertation: An Intelligent Agent Based Spoken Dialogue System for Content-based Image Retrieval. 毕业论文:基于智能体的计算机对话系统及其在基于内容的图像搜索中的应用。
- To use the fax services, the Microsoft Office Document Image Writer driver is required. 若要使用传真服务,必须安装Microsoft Office Document Image Writer驱动程序。
- Content-Based Image Retrieval of Butterflies. National Taiwan University, Taipei, Taiwan. 蝴蝶影像内容检索。国立台湾大学资讯工程学研究所硕士论文,台北市。
- The selected text is actually contained in a hidden layer, separate from the document image. 所选文本实际包含在隐藏的层中,与文档图像是分离的。
- Content-based image retrieval (CBIR) is an advanced project in the recent research area of multimedia retrieval. 基于内容的图像检索 (CBIR)是多媒体检索研究的前沿课题 .
- An efficient skew detection algorithm was proposed for complex document image containing figure or form contents. 摘要针对扫描背景不定且含有图表信息的复杂文本图像,提出了一种有效的倾斜检测方法。
- An image retrieval method based on user selected region of interest was proposed. 摘要提出了一种基于用户选择感兴趣区域的图像检索方法。
- On the whole, this thesis has accomplished the software design of a Chinese document image analysis system. 整体而言,本论文系完成一个中文文件影像分析系统之软体设计;
- Experiments show that MFCM is applied to image retrieval is effective in exactness and real-time property. 实验表明该方法应用于图像检索,在准确性和实时性方面均能达到较好的效果。
- The sharp increase of image information makes image retrieval technology develop fast too. 摘要图像信息的急剧增长,使得图像检索技术也获得迅速发展。