最后对图像检索技术的发展趋势进行了探讨。
Finally the direction of future development in CBIR has been discussed.
基于内容的图像检索技术是当今研究的热点领域之一。
The image search technique based on content becomes a hot research topic.
本文主要对基于纹理的图像检索技术进行了深入研究。
The texture-based image retrieval technology is deeply studied in this paper.
目前，基于内容的图像检索技术成为图像检索的主流。
At present, the content-based image retrieval technology becomes the mainstream of image retrieval.
随着对图像检索技术的深入研究，新的问题也随之而来。
With the deep research on image retrieval, some new problems come after.
首先对基于内容图像检索技术的基本原理和框架进行了概要介绍。
Firstly, the basic theory and frame of content-based image retrieval technology are introduced.
如何有效准确的表达图像特征是基于内容的图像检索技术的核心问题。
How to describe image characters efficiently and accurately is a core problem in CBIR.
最后利用基于空间关系的图像检索技术对图像边缘的相对位置进行监测。
At last, based on space relationship, the image search technology was used to monitor the relative locations of image edge.
该系统利用了一个多级图像描述模型将语义特征结合到图像检索技术中。
In this paper, a novel system for content-based image retrieval is designed and created, which combines image semantics based on a multi-level model for image description.
传统的以浮点矢量形式表示的图像特征，是基于内容的图像检索技术的基础。
The traditional float vector based image feature is the base of content based image retrieval techniques.
该系统综合运用了多媒体、媒体存储、数据组织和表示方法、图像检索技术等。
The system combines various technologies including multimedia, media storage, data organization, data model and image retrieval technology.
本文对基于区域语义和底层视觉特征结合的相关反馈图像检索技术进行了探讨。
This paper do some research on region and vision feature based image retrieval with relative feedback.
基于内容的图像检索技术是当前多媒体数据库系统和数字图书馆研究中的一个热点。
Contentbased image retrieval is a hotspot in the research of multimedia database system and digital library.
本文从图像格式、图像加工与处理和图像检索技术三个方面论述数字图书馆与图像。
This paper discusses digital library and image from three aspects: image form, image making and processing, image retrieval technology.
基于内容的图像检索技术和基于语义的图像检索技术正是解决这一问题的有效途径。
Two effective ways has been proposed to solve the problem : one is content-based image retrieval(CBIR) technique which search target images by low-level content feature.
因此，基于内容的图像检索技术就应运而生，并逐渐地成为图像检索领域的研究热点。
Therefore, content-based image retrieval techniques have emerged, and it become hot in the field of image retrieval research.
基于内容的图像检索技术可以克服这些弊端，它在商标检索领域得到了非常广泛的应用。
The methods of CBIR retrieve the images using the characteristics of themselves, such as color, shape, texture and the space position relations.
基于颜色特征的图像检索技术主要包括颜色空间的选择、颜色量化方法及颜色特征的提取。
Color space, color quantization and color feature extraction are the main techniques in image retrieval based on color feature.
基于内容的图像检索技术依据图像的画面内容特征来检索图像库中与目标图像相似的图像。
The Content-based image retrieval technique search the image in the image library by the content features. The result is similar to the target image.
提出了快速小波熵的图像检索技术以减少小波直方图技术的计算复杂性并提高了检索速度。
The fast wavelet entropy technique for image indexing to reduce the complexity of the wavelet histogram method is suggested which can improve the retrieval performance.
为了克服传统图像检索技术存在的缺陷，就需要全面、一般性和客观地提取出图像的内容。
In order to overcome the deficiencies of traditional image retrieval technology, we should extract the image content comprehensively, generally and objectively.
本学位论文将图像检索技术运用于文档检索系统中，提出了一种针对图像内容的文档检索方法。
A method of documents retrieval by the image content was researched in this dissertation, and the image retrieval techniques was applied the to document retrieval system.
图像检索技术是多媒体应用中的关键技术，现有的基于内容的图像检索技术大都是基于非压缩域的。
Image retrieval techniques are crucial in multimedia application, a number of retrieval techniques that operate in the pixel domain have been reported in the literature.
在此基础上，讨论了图像的相似度量以及相应的图像检索技术，并给出了实验结果和图像检索性能的评价。
And based on this, this paper discusses on the similarity measuring and corresponding image retrieval techniques, and gives the evaluation on the test results and the image retrieval performance.
我们对图像检索以及图像检索系统的一些关键技术进行了研究，并将图像检索技术应用于领带花型的检索中。
In this paper, we focus on key techniques of image retrieval and image retrieval system and employ these techniques on the retrieval of necktie pattern.
随着基于内容的图像检索技术的飞速发展，对称性检测技术不断完善，于是在更多的领域内得到了广泛地应用。
With the fast development of the retrieval of the image based on content, the technology of the detection of the symmetry becomes perfect step by step, so that it can be applied in sweeping areas.
本文对基于内容的图像检索技术原理和关键技术做了研究和分析，特别是对图像的特征提取技术做了深入研究。
In this dissertation, the basic principles and key techniques in the Content-based animation image retrieval technology are researched and analyzed, especially the feature extraction technology.
由于图像数据中普遍存在的“语义鸿沟”问题，传统的基于内容的图像检索技术对于数字图书馆中的图像检索往往力不从心。
Because of the "semantic gap" which is often encountered in the image data, traditional CBIR technology cant deal with the problem of image retrieval in digital libraries sometimes.
基于内容的图像检索技术主要利用图像的颜色、纹理和形状特征对图像进行检索，论文重点研究基于颜色和纹理特征的图像检索技术。
The main features used for image retrieval are color, texture and shape. This thesis looks into image retrieval techniques based on color and texture.
基于内容的图像检索技术主要利用图像的颜色、纹理和形状特征对图像进行检索，论文重点研究基于颜色和纹理特征的图像检索技术。
The main features used for image retrieval are color, texture and shape. This thesis looks into image retrieval techniques based on color and texture.
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