实现基于内容的图象检索系统的关键问题是实现图象的语义分割。
To access these image databases automatically and on demand requires the system of content-based image retrieval (CBIR).
在基于内容的图象检索中，颜色作为图象的一种重要视觉信息，已得到广泛应用。
Within the image retrieval based on the content, the color, being an important vision information of image, have been used broadly.
基于内容的图象检索技术一般采用颜色直方图为特征，但是这种方法不能反映空间特性。
Content based image retrieval techniques usually use the color histogram of the full image. But this method can't contain the spatial features.
首先介绍了国内外基于内容的图象检索系统的研究现状，基本原理，查询方式以及应用领域。
At first, we introduce the current research situation of CBIR (Content-based image retrieval) both at home and abroad, basic theories, inquiry ways and application fields.
该文分六类对现有的图象语义分割技术进行了全面的总结，为进一步研究基于内容的图象检索技术奠定了基础。
One of the key technologies in CBIR system is the image semantic segmentation. This paper surveys the techniques for image semantic segmentation and class…
分析了传统的图象检索方法的困难，比较了基于内容的图象检索系统所具有的优点、系统结构及一般的处理方法。
We analyzed the difficulties of traditional method of retrieval and introduced the highlights of content based image retrieval systems, its structure modules and general processing methods.
文字信息在描述图象内容时起着重要的作用，因此文字提取及识别是基于内容视频检索的关键技术。
Text extraction is a key technique in content-based video retrieval as textual information plays an important role in describing the content of image.
为了从海量遥感影像库中提取需要的图象，必须应用影像本身具有的特征实施基于内容的遥感影像检索。
In order to get interested images from vast Remote Sensing images, it is necessary to retrieve image based on content by using features in RS image.
基于内容的图象数据库检索技术是当今的一个研究热点，国内外许多研究机构都在从事这一课题的研究，并取得了一定的研究成果。
The retrieval technique of content-based image database is a focus of study nowadays, many institutes being engaged in this project have obtained some achievements home and aboard.
实验结果表明这种基于图象内容的检索方法，较方便和准确地达到了图象检索之目的。
The results indicate that the Content-based image retrieval method offers distinct advantages over some other image retrieval methods.
依据当前对图象查询的要求，本文设计了一套完整的基于内容的图象信息检索系统，该系统较以往的各种系统，功能更加全面。
Based on the requirement of image query, the paper designs a framework of Content-Based image Retrieval system (CBIR), which possesses more functions than all kinds of existing CBIR systems.
对基于内容的图象信息检索算法作了研究。重点阐述了对颜色、边缘、纹理等全局特征的提取与匹配算法。
We do some researches on the algorithm of CBIR, and pay more attention on the global feature (including color, edge and texture feature) extraction and matching algorithms.
对基于内容的图象信息检索算法作了研究。重点阐述了对颜色、边缘、纹理等全局特征的提取与匹配算法。
We do some researches on the algorithm of CBIR, and pay more attention on the global feature (including color, edge and texture feature) extraction and matching algorithms.
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