Content - based image retrieval ( cbir ) and relevance feedback technology , is the one of top research domains , which is the solution of image retrieval problem , but retrieval precision and retrieval by semantic is yet the problem requiring to research , they are something required to research that image content description for content retrieval and data model , high dimension image feature vector " calculation , the structure and index of image database , etc . contraposing to the actuality and developing trend of content - based image retrieval research , . we lucubrate on cbir , relevance feedback arithmetic and semantics of image extract , simultaneously research associated problems 基于内容的图像检索和相关反馈技术，是当前研究的热点之一，是解决图像检索问题的有效手段，检索精度和语义检索仍然是需要继续研究的问题。对用于内容检索的图像内容描述和数据模型，高维的图像特征向量的计算，图像数据库的结构和索引都需要进行研究。针对基于内容的图像检索研究的现状和发展趋势，本文主要对基于内容的图像检索中相关反馈算法以及利用相关反馈提取图像语义作深入研究，同时研究了与其相互关联的几个问题。
With the development of the technology of multimedia and internet , visual information is used more widely . as a result , effective methods of managing image databases and visual information are needed . as a key technique , content - based image retrieval ( cbir ) has become one of the most active research areas in the past few years 随着多媒体技术、网络技术的迅速发展，图像信息的应用日益广泛，对规模越来越大的图像数据库、可视信息进行有效的管理成为迫切需要解决的问题，基于内容的图像检索是解决这一问题的关键技术之一。
The thought of designing is that the ct image database system in web should be able to query by image content , it relates to image processing , distribute object technology and component object model technology , web database , connectivity database technology and database middleware technology and so on 设计思想是基于web的ct图像数据库管理系统应该能够实现基于内容的查询，主要涉及图像处理技术、分布式对象技术、组件对象模型、 web数据库、数据库访问方式、数据库中间件等技术的应用。
Multi - sense information technology succeeds to improve the dynamic scale of ccd camera , which is useful in empty inspection . 5 . an experimental ebi equipment is developed , which is a useful tool including the whole mechanical , electrical system and software developed with vc6 . 0 and vb6 . 0 . by the aid of this experimental equipment , an empty bottle image database is built and all algorithms for inspection are tested 5 、研制开发了智能空瓶检测机器人实验系统，完成了整个系统的机械、电气控制部分的设计、安装和调试，用vc6 . 0和vb6 . 0开发了基于pc机的一整套测试和研究的软件平台，建立了空瓶图像数据库，完成了本文所有算法的测试、研究工作，为智能空瓶检测机器人的进一步研究奠定了很好的基础。
In the research , the system captures real - time images based on the sdk , and saves the image data into buffers which are created by the system . the important and primary parts are got using the programs which are designed to process and analyze the image data in the buffers , and the geometrical features such as area , perimeter , moment invariants and fourier descriptor , are measured . the parts are classified according to the threshold of each geometrical feature with the image database 课题研究中,在设计的试验平台上,通过摄像头和sdk开发包对零件进行实时图像采集,并将其存入开辟的数据缓冲区内;由设计的图形处理模块对缓冲区内的数据采用各种算法进行分析处理,形成研究中感兴趣的重要图像;调用图像识别判断模块,主要提取了零件的周长,面积,惯性矩,傅立叶描绘子等形状特征参数,根据定义的识别函数,并结合图像数据库,进行零件识别或缺陷检测。
Iris image for this paper is provided by institute of automation chinese academy of sciences . iris feature extraction is based on texture analysis using multi - channel gabor - wavelet filtering . compared with existing methods , our method employs the rich 2 - d information of the iris translation , rotation , and scale invariant 课题采用的虹膜图像是由中科院自动化所提供的小型虹膜图像数据库，图像的预处理采用改进的hough变换方法来定位虹膜内外边缘，特征提取采用gabor小波滤波器来进行图像纹理特征分析，采用方差倒数加权欧氏距离分类器对图像进行分类。
With the development of the technology of multimedia and internet , visual information is used more widely . as a result , effective methods of managing image databases and visual information are needed . as a key technique , content - based image retrieval ( cbir ) has become one of the most active research areas in the past few years 随着多媒体技术、网络技术的迅速发展，图像信息的应用日益广泛，对规模越来越大的图像数据库、可视信息进行有效的管理成为迫切需要解决的问题，基于内容的图像检索是解决这一问题的关键技术之一。
To overcome the shortcomings of traditional text - based query , content - based retrieval is specially emphasized . in this paper , the architecture of image database is discussed ; the past , the present and the future of image retrieval are analyzed , and the main issues at different research phases are also discussed . the key research issues of content - based image retrieval are discussed extensively and comprehensively 考虑到图像信息对于信息获取的重要意义，本文主要研究了基于内容的图像存储(图像数据库)的体系结构，对图像检索的过去、现在和未来进行了分析，论述了每个阶段的研究特点，对基于内容的图像检索的主要研究技术进行了详细和全面的论述。
