A fuzzy logic-based image retrieval system is proposed.
提出了一个基于模糊逻辑的图像检索系统。
This paper proposes an image retrieval system based on IGA.
提出了一种基于交互式遗传算法的图像检索模型。
As information is vast, the query speed in image retrieval system is important.
图像检索因信息量巨大，查询速度至关重要。
A second generation contourlet transform based texture image retrieval system is proposed.
提出了一种基于第二代轮廓波变换的纹理检索系统的实现方法。
In this paper, constructing object description model in content based image retrieval system is focused on.
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。
This two-level semantic annotation research is of great significance to the semantic-based image retrieval system.
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。
The similarity image retrieval system designed in this paper extracts the images feature using the feature extractor.
应用图像相似度理论，提出了一种综合使用基于几何和基于图像的混合绘制方法。
In the animation image retrieval system, image semantic annotation has a directly influence on the result of image retrieval.
在动画素材图像的检索系统中，图像语义标注的质量直接影响了检索的效果。
In this article, based on the introduction of framework of CBIR with relevance feedback, a real image retrieval system was constructed.
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。
Afterward, this paper discussed how to design an image retrieval system based on relevance feedback, and established a experimental system.
在此基础上，讨论了相关反馈图像搜索引擎的系统构建的问题，并实现了一个实验系统。
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.
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。
Referring to the low retrieval rate of basic contourlet transform, a Non-subsampled Contourlet Transform (NSCT) texture image retrieval system is proposed.
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。
The key factors that decide the efficiency of an image retrieval system are the description of image content and measure the similarity between two images.
得出影响检索效果的关键之处在于图像的内容表示以及图像间的相似性度量。
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.
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。
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.
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。
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.
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。
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.
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。
It presents the model and feature of content-based image retrieval system, and then discusses some methods of feature abstraction and similarity measurement based on color, texture and shape.
首先叙述了基于内容的图像检索的系统模型和特点，接着针对颜色、纹理和形状进行了概率特征提取、相似度量等的进一步具体分析讨论。
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.
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。
Contentbased image retrieval is a hotspot in the research of multimedia database system and digital library.
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。
This article mainly introduces the design and optimized project of the Automatic Retrieval system based on image content.
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。
The system combines various technologies including multimedia, media storage, data organization, data model and image retrieval technology.
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。
A content-based medical image retrieval database system was introduced.
介绍了一个基于图像内容检索的医学图像数据库系统。
Based on image Processing and database Management System, Content Based image Retrieval (CBIR) is employed to obtain approximate results from image database, using the visual feature of images.
基于内容的图像检索技术是利用计算机图像处理和数据库管理系统，把图像的可视特征作为数据库检索的依据，对图像数据库进行近似检索。
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.
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。
To access these image databases automatically and on demand requires the system of content-based image retrieval (CBIR).
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。
Finally, the technical implementation of our content-based image browse and retrieval test system, as well as some key components in building such a test system, is also covered in great detail.
最后通过完成一个基于内容的图像检索和浏览的实验系统设计与实现，讨论图像检索的具体实现过程，以及检索中需要用到的技术和可能遇到的问题。
In recent years, the content-based image retrieval (CBIR) system is a hot research topic.
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。
A feature based image querying and retrieval system is described in this paper.
介绍了一个基于特征的图象查询和检索系统。
A feature based image querying and retrieval system is described in this paper.
介绍了一个基于特征的图象查询和检索系统。
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