图像检索

基于移动Agent技术的医学图像检索方法

Method of Medical Images Retrieval Based on Mobile Agent

基于统计特征的DCT压缩域纹理图像检索方法

Algorithm of texture images retrieval in DCT compressed domain based on statistical features

Internet上的图像检索技术

Technique of image retrieval on Internet

基于DCT系数空间分布的JPEG图像检索算法

JPEG Image Retrieval Based on the Spatial Distribution of the DCT Coefficients

基于A/D能量直方图的JPEG图像检索

JPEG Image Retrieval Based on A / D Energy Histograms

基于平均值位移聚类与EMD测量的图像检索

An image retrieval method based on mean shift and EMD

对等网络中基于MPEG-7的图像检索技术研究

Research of Image Retrieval Based on MPEG - 7 in P2P

MPEG-7纹理描述子的图像检索

A Study on Image Retrieval Based on MPEG-7 Texture Descriptors

本文利用Visualc++6.0构建了一个小型图像检索系统，对文中所提到基于目标区域的图像检索方法进行了验证。

By using the software of Visual C + + 6.0 , a minitype image retrieval systeme is constructed . And the proposed image retrieval method based on the objection region is verified .

医学图像检索分类的MOAB编码方案

MOAB Classification Coding Scheme for Medical Image Retrieval

因此，基于内容的图像检索（CBIR）已经成为当前国内外研究的热点。

So content-based image retrieval ( CBIR ) is now the study hot-point in the world .

基于Kohonen神经网络的彩色图像检索法

Color-image retrieval using Kohonen neural network

最后本文提出了一种DCT压缩域的基于形状的图像检索方法。

And it is invariant to rotation . Last , an algorithm of image retrieval based shape feature directly in DCT compressed domain is proposed .

基于内容的图像检索（CBIRContent-basedImageRetrieval）的目的在于通过某种特定的方法在数据库中寻找出满足一定人类视觉特征的图像的过程。

The goal of Based on content image retrieval ( CBIR Content-Based Image Retrieval ) lies in through some specific method seeks a process satisfies the human vision characteristic of image .

基于NMI不变特征的二值商标图像检索方法研究

Research of Binary Trade Mark Image Retrieval Method Based on NMI Invariable Feature

随着多媒体和Internet技术的快速发展，基于内容的图像检索已经成为图像处理和计算机视觉领域的研究热点，基于内容的图像检索具有广阔的应用前景和重要的学术研究价值。

Along with the speedy development of the multimedia and Internet techniques , content-based image retrieval ( CBIR ) has become one of the hot topics on image processing and computer vision , content-based image retrieval has broad application prospects and important academic value .

该文对实现基于MPEG-7标准的内容描述和描述生成及其在图像检索中的应用进行了比较全面的探索。

In this paper , the application of MPEG-7 in content description generation and information retrieval of video has been systematically studied .

这是一个亟待解决的问题，这也是基于内容的图像检索（Content-basedImageRetrieval，即CBIR）产生的主要目的。

How to search for and locate the images we need accurately and quickly , which is a problem we should solve immediately , is the main aim of the content-based image retrieval ( CBIR ) .

实验表明，该算法在一定程度上克服了HSV的色调奇异性对图像检索的影响，提高了检索性能。

The experiments prove that this method can eliminate the influence on image retrieval caused by HSV hue singularity to a certain extent , and improve the retrieval performance .

传统的基于数值字符的信息检索技术并不能满足海量的图像检索要求，因此，基于内容的图像检索技术（CBIR，ContentBasedImageRetrieval）得到了广泛研究。

Because of the complexity of images , the traditional information retrieval techniques , which are based on value and / or text comparison , are not sufficient to retrieval images , the research is shift to the techniques of content based image retrieval ( CBIR ) .

一个智能化的图像检索系统IIRS

An Intelligent Image Retrieval System IIRS

基于度量空间高维索引结构VP-tree及MVP-tree的图像检索

Image Retrieval Based on High-Dimensional Index Structure for Metric Spaces VP-Tree and MVP-Tree

针对目前图像检索中存在的语义鸿沟问题，提出综合商空间粒度和网格理论的基于ROI的图像检索技术，并融合颜色、纹理和形状等底层特征，结合基于方差分析的相关反馈技术进行检索。

Aiming at the " Semantic Gap ", image retrieval based on ROI that combines grid and quotient space granularity theory is proposed . It integrates color , texture and shape features and implies relevant feedback to retrieve image .

BoW技术起源于文档检索系统，并在文档检索领域取得了成功；SIFT特征提取技术由D.G.Lowe1999年提出，2004年完善总结，在图像检索领域获得了不错的检索效果。

BoW ( Bag of Words ) technology originated in document retrieval systems and got a great success . SIFT feature extraction technique was proposed by the D.G.Lowe 1999 , concluded in 2004 , and obtained good performance in the image retrieval area .

SS-树索引是常用的空间数据索引，具有平衡性、动态性、构造和维护的简单性，用Java实现了SS-树索引，并在自行开发的基于内容图像检索实验原型系统IRS中使用。

The SS-tree index is the popular spatial index , and has the characteristics of balance and dynamic , and it 's easy to construct and maintain . A web-based CBIR system named IRS is realized by using Java , for which the SS-tree indexes are realized .

该方法采用HSI颜色模型提取代表色，提高了图像检索的速度；通过图像分块后统计各方块颜色的代表色直方图并赋予不同的权值，提高了图像检索的精度，改善了图像检索的质量。

This paper deals with a new image retrieval method which can improve the retrieving speed by extracting representative color in HIS color pattern and enhance the retrieval precision and quality by providing different parameter of histogram for each segment .

论述了基于内容的图像检索技术（CBIR）的新进展，提出了引入相关反馈机制、多种特征组合检索、图像聚类检索等三种改进其性能的方法，并通过实例论证了这些方法的有效性。

This paper mainly discusses the development of the CBIR in the digital library and puts forward three methods to improve the performance of CBIR system and demonstrates the effectiveness of relevant feedback technique , composite retrieval and the clustering technique by example .

图像检索时间效率提高98%；

The efficacy of images retrievals was increased by 98 % ;

提出了一种新型快速旋转不变图像检索新方法。

A novel fast rotation invariant image retrieval method was proposed .

基于内容的鲁棒的图像检索方法的研究与系统实现

Research and Application about Robust Image Retrieval Approach Based on Content