图像数据库

• Content - based image retrieval , which uses visual contents to search images from large scale image databases according to users ’ interests , has been an interesting and rapid developing research field nowdays
  基于内容的图像检索技术,一种用户可以根据自己的需要利用图像的内容对图像数据库进行搜索的技术,成为当前科学界研究的热点之一。
• A basic problem , in such areas as image analysis , computer vision , automatic navigation , diagnosis based on medical image and image database retrieval , is the automatic segmentation , description and recognition of objects in image
  图像物体的分割、描述、特征提取和识别是图像分析、计算机视觉、自动导航、基于医疗图像的诊断以及图像数据库检索等领域的一个核心问题。
• In this paper , a lot research work has been done around three points : how to abstract and index low - level feature of images , how to retrieval images in semantic level , and how to fill the semantic gap by relevant feedback technique
  前者研究的是根据自动获取的图像低层特征，从图像数据库中检索出相关图像；而后者研究的是如何从多种渠道获取图像语义信息，并根据语义检索相关图像。
• Image database retrieval is a hot topic and has attracted increased attention from researchers . it includes several contents such as describing the image visual content ( extracting features ) , image database management , image matching and so on
  图像数据库检索是当今信息时代人们广泛关注的热点问题，主要包括对图像内容的描述(特征表达及提取) 、图像数据库管理、图像匹配等内容。
• The rapid development of computer , multimedia and internet techniques has produced too large amount of images . therefore , it becomes an urgent problem that how to find needed image efficiently in large - scale image database
  计算机技术、多媒体技术以及internet技术的飞速发展产生大量的图像信息，因此如何有效地、快速地从大规模的图像数据库中检索出需要的图像是目前一个急需解决的重要问题。
• Structured mining plays an important role in xml documents mining , web page traffic mining , analysis of molecular evolution , packet routing , biological informatics , biological computing , communication system , image database and city management
  结构数据挖掘在xml文档挖掘,网页流量挖掘,生物进化的分析,路由选择,生物信息学,生物计算,通讯系统,图像数据库,城镇规划等诸多领域发挥重要作用。
• Consequently , the computational cost of the method is low . in addition , the methods presented by the dissertation can also be applied to character recognition , speech segmentation and recognition , obstacle avoidance for robot , image database retrieval and hiding
  本文获得的成果还可以用于字符的识别、语音分割与识别、机器人避碰、图像数据库的查询与检索以及计算机图形学中图形消隐与裁减等许多学科领域。
• The adopted method of infrared texture images generation is a novel one , which builds up the relationship between the gray levels of texture images and the infrared radiance fields . the technique of image database provides us a new idea of dynamic scene generation
  建立红外纹理灰度与红外辐射场的函数映射关系，从而生成红外纹理图像，其方法具有一定的创新性；图像数据库技术的引入，为动态场景仿真提供了新的研究思路。
• The thesis studies and demonstrates hybrid structure of image database system querying by image content ( qbic ) in - b / s mode and its framework relying on the basic theory of the image processing , the distributed multi - tier applications , component object model and web database technology
  以图像处理技术、分布式多层应用系统、组件对象技术、 web数据库技术的基本理论为基础，研究并提出了基于内容查询的b s模式图像数据库系统及其体系结构。
• This system can accomplish effectively many functions through computer such as field terrane - surveying of geology catalog , drawing tectonic lines , building spatial model based on digital image , fast querying of terrane - attribute and figure database , cartography through cad technology and so on
  此系统有效实现了在计算机上完成地质编录的外业产状量测，构造线素描，普通影像的空间建模，岩层产状属性、图像数据库快速查询及cad成图等等功能。