In this paper, a new image feature retrieval method is proposed for large number of JPEG format medical images.
针对医学图象数据库中大量存在的JPEG压缩图象，提出了一种新颖的特征提取算法。
In view of feature of image retrieval, the position parameter of IFS code is replaced with the relative distance and direction parameter.
针对图像检索的特点，将分形码中的位置参数替换为相对距离与方向系数。
Color quantization is an important method of image retrieval based on color feature.
颜色量化是基于颜色特征的图像检索的一个重要方法。
Shape feature extraction and description are one of important research topics in content-based image retrieval.
形状特征提取和表示是基于内容图像检索的重要研究内容之一。
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。
Finally, the wavelet packet histogram is computed as feature signatures and histogram intersection distance is employed to retrieval queried image from image databases.
最后，抽取小波包直方图作为特征表示并应用直方图相交距离从图像数据库中检索被查询图像。
This paper do some research on region and vision feature based image retrieval with relative feedback.
本文对基于区域语义和底层视觉特征结合的相关反馈图像检索技术进行了探讨。
This paper proposes document image retrieval method based on the paragraph feature combining up with the local relative difference of pixel distributions.
提出一种综合利用文档图像的段落特征和局部像素分布相对差特征进行文档图像检索的方法。
Feature based image retrieval has got more and more attention in multimedia database management and date transmission.
基于特征的图像检索在多媒体数据库管理和多媒体通信传输中得到越来越多的重视。
Image edge is an important feature in object recognize, image understand and image retrieval.
图像边缘是目标识别、图像理解及图像检索中常用的一个重要的特征。
This paper puts forward the trademark image retrieval algorithm based on the subimage feature fusion, and does research on the subimage feature fusion criterions.
本文提出了基于子图像特征融合的商标图像检索算法，并对子图像特征融合准则进行了研究。
This paper researches the sub image feature fusion rules in the trademark image retrieval, and improves the sub image feature fusion rules by weighting based on the sub image reliability.
该文对商标图像检索中的子图像特征融合准则进行了研究，根据子图像可信度对子图像特征融合准则进行加权改进。
A method used for two-stage image retrieval with rotation-invariant texture feature is proposed against the common rotation problem of image.
针对图像中常见的旋转问题提出一种旋转不变纹理特征进行两级图像检索的方法。
Introduces color feature extraction and matching algorithms in content-based image retrieval, such as weighted Euclidean-distance, weighted centre distance, histogram intersection algorithm, etc.
介绍了基于内容图像检索中多种颜色的特征提取和匹配算法，以及加权欧几里得距离、中心距的加权距离、直方图交集算法等。
This paper introduces the definition of the content-based image retrieval and the visual description tools of MPEG-7, and analyzes the application of the feature descriptor.
介绍了基于内容的图像检索的定义以及MPEG - 7中的视觉描述工具，分析了特征描述符的应用。
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。
Visional feature extraction, high dimensional indexing mechanism and relevance feedback are three important issues in content-based image retrieval.
低层视觉特征提取、高维数据索引机制和相关反馈方法是面向大规模图像库基于内容检索的三个关键问题。
In this dissertation, the basic principles and key techniques in the Content-based animation image retrieval technology are researched and analyzed, especially the feature extraction technology.
本文对基于内容的图像检索技术原理和关键技术做了研究和分析，特别是对图像的特征提取技术做了深入研究。
The way, which is to determine the number of clustering by the distance between the image feature vectors, could provide more accurate retrieval result in a shorter time.
而通过图像特征向量之间的距离来确定聚类个数的方法，能在较短的时间内提供较为准确的检索结果。
This paper presents a trade mark retrieval method in which the shape feature and spatial relationship are both used for the purpose of making full use of image info and improving retrieval precision.
为了充分利用商标图象的内部信息，以提高商标图象的检索精度，提出了一种综合利用商标形状特征与其内部空间位置关系特征来检索二值商标图象的方法。
The traditional float vector based image feature is the base of content based image retrieval techniques.
传统的以浮点矢量形式表示的图像特征，是基于内容的图像检索技术的基础。
Color space, color quantization and color feature extraction are the main techniques in image retrieval based on color feature.
基于颜色特征的图像检索技术主要包括颜色空间的选择、颜色量化方法及颜色特征的提取。
The thesis presents a semantic vector algorithm, builds up the network of image semantic keywords, and realizes the composite retrieval of the image low-level feature and semantics characteristics.
提出了一种语义向量算法，构建了图像语义关键词网络，实现了图像底层视觉特征和语义的复合索引。
Traditionally image retrieval mainly relies on single feature such as color, texture, shape and spatial relationship, etc., so the result is usually not so good.
传统的基于内容的图像检索主要依赖颜色、纹理、形状、空间关系等单一视觉特征，检索效果往往不够理想。
The method is more flexible and accurate to describe the color feature of an image and improves the image retrieval precision.
实验结果表明，该方法实现简单，能够更加灵活、准确地描述图像的颜色特征，从而有效提高了图像检索的准确率。
A novel image retrieval method based on color and texture feature is proposed.
提出了一种基于颜色和纹理特征的图像检索方法。
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.
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。
Two effective ways has been proposed to solve the problem : one is content-based image retrieval(CBIR) technique which search target images by low-level content feature.
基于内容的图像检索技术和基于语义的图像检索技术正是解决这一问题的有效途径。
Two effective ways has been proposed to solve the problem : one is content-based image retrieval(CBIR) technique which search target images by low-level content feature.
基于内容的图像检索技术和基于语义的图像检索技术正是解决这一问题的有效途径。
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