提出了一个基于模糊逻辑的图像检索系统。
本文详细介绍了基于相关性反馈技术的图像检索系统框架。
In this article, based on the introduction of framework of CBIR with relevance feedback, a real image retrieval system was constructed.
该文实现了一个实用基于颜色、纹理特征的图像检索系统。
This thesis presents a practical image retrieving system based on color and texture characteristic.
颜色直方图法是基于内容的图像检索系统通常采用的方法。
Color histogram is the most usually used method of content-based image retrieval.
研究了基于内容的图像检索系统中的目标描述模型的建立方法。
In this paper, constructing object description model in content based image retrieval system is focused on.
近年来，基于内容的图像检索系统(CBIR)是一个热门的研究话题。
In recent years, the content-based image retrieval (CBIR) system is a hot research topic.
在基于图像内容的图像检索系统中，搜索引擎检索图像类似于按照相似标准来查询图像。
In content based image retrieval system, search engine retrieves the images similar standard to the Cey words query image according to a similarity measure.
为了把用户模型嵌入到图像检索系统中，基于内容的图像检索领域引入了相关反馈机制。
Relevence feedback is used for CBIR in order to embed user model into image search.
论文阐述了一种基于在线学习算法的彩色图像区域增长法，用于解决基于内容的图像检索系统。
This paper presents a color images region growing method based on online learning algorithm, which is used for content-based image retrieval systems.
将基于内容的图像检索方法运用在卫星图像的检索中，设计并实现了一个卫星云图图像检索系统。
The main achievement in this as below: this paper adopt Contented-Based Image retrieval method in cloud retrieval.
基于内容的图像检索系统涉及许多方面关键技术，如何准确有效的表示图像内容是其中的核心问题。
The key technologies of content-based image retrieval (CBIR) system contain a lot of aspects. The most important point is how to represent multimedia content accurately and completely.
本文介绍了基于内容图像检索的基本原理、检索方式和关键技术，并列举了几种较为先进的图像检索系统。
This paper introduces the basic theory, retrieval mode and critical technology of content-based image retrieval and illustrates some advanced image retrieval systems.
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.
在基于内容的图像检索系统中，图像低层特征和图像所表达高层概念之间的不一致性导致系统出现语义鸿沟问题。
In content-based image retrieval systems, the inconsistency between image low-level features and the concept of high-level expressed by images lead to system semantic gap problem.
最后根据对基于内容图像检索关键技术的研究与分析，本文给出了一个基于内容的动漫图像检索系统的开发实例。
Finally, based on the key technologies of content-based image retrieval, a development example of content-based animation image retrieval was presented.
针对如何在图像检索系统中客观地表达用户的感知，提出了一种基于粗糙集和遗传算法的相关反馈图像检索方法。
A novel auto relevance feedback image retrieval method called the outer auto relevance feedback(OARF) is proposed based on the pseudo-relevance feedback technology.
然而由于信息的复杂多样，图像的内容描述方法缺乏规范，导致了基于内容的图像检索系统中存在通用性差的问题。
However, due to the complexity of the information, the lack of standard for the description of image content induces low interoperability among CBIR systems.
针对基本轮廓波变换纹理检索系统检索率较低的问题，提出了一种无下采样轮廓波变换（NSCT）纹理图像检索系统。
Referring to the low retrieval rate of basic contourlet transform, a Non-subsampled Contourlet Transform (NSCT) texture image retrieval system is proposed.
文中介绍了一个基于内容的图像检索系统的设计和实现，它利用改进的几何散列技术能够获得快速而且准确的相似形状检索。
This paper presents the design and implementation of a content-based image retrieval system which acquires effective and efficient similar shape retrieval using a modified geometric hashing technique.
最后，本文根据提出的多层个性化情感模型建立一个了一个验证性的图像检索系统，该系统在测试中取得了不错的检索效果。
Finally, in accordance with the multi-layer individual affective model, this paper establishes an image retrieval system, which has made good search results in testing.
全文分为五个部分：第一部分阐述了图像的检索模式及其特点，介绍了基于内容的图像检索系统的应用领域和典型的图像检索系统。
The dissertation is divided into 5 parts: the first part expatiates on the image retrieval mode and its characteristics, introduces the typical system of the image retrieval and its application field.
利用本文提出的基于特征签名的图像特征表示方法，本文进一步提出了基于多特征签名的图像检索系统，和基于多特征签名的重复图像检测方法。
By using signature based image feature, we stepped forward and proposed a multi-signature based image retrieval system and a multi-signature based duplicate image detecting method.
由于图像的低层视觉特征与高层概念的相关性较弱，且图像检索系统用户的主观性强，因此把用户模型嵌入到系统中，通过用户反馈来获得用户的检索意图是十分必要的。
Because of the weak correlation low level features and high level conception of images and different subjective perception of the system users, relevance feedback has been introduced to CBIR.
该文主要介绍一种基于图像的外观专利自动检索系统的设计与优化方案。
This article mainly introduces the design and optimized project of the Automatic Retrieval system based on image content.
最后设计出基于内容的图像浏览与检索系统以验证其有效性和正确性，并给出了系统运行效果示例。
Finally, a content-based image browse and retrieval system are designed to certify its validity and correctness, and the demonstrations of systematic operation result are provided.
这两个层次的语义标注研究对于动画素材图像语义检索系统的高效运行有着重要意义。
This two-level semantic annotation research is of great significance to the semantic-based image retrieval system.
只有结合图像的多种信息，特别是语义信息，才能使检索系统的能力尽可能接近人的理解水平。
None but combine the multi-character, especially semantic information, can the capability of retrieval system approach the human mentally level.
该文通过对传统图像库检索系统的改进，提出一个高效的图像库检索模型。
This paper presents an efficient retrieval model in pictorial databases by improving the traditional pictorial databases retrieving system.
同时提出一种基于内容的图像标引与检索系统结构，能自适应的在图像语义库中添加较为成功的语义表述。
The same time, it raise a new structure of system of content based image indexing and retrieval which can adapt oneself for adding successful semantic users did to semantic database.
同时提出一种基于内容的图像标引与检索系统结构，能自适应的在图像语义库中添加较为成功的语义表述。
The same time, it raise a new structure of system of content based image indexing and retrieval which can adapt oneself for adding successful semantic users did to semantic database.
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