Introduces a design of an extensible image retrieval platform.
介绍一个易于扩充的图像检索平台之设计思想。
Contentbased image retrieval needs to determine image similarity.
图象内容的检索需要确定图象之间的相似性。
The relevance feedback is a important component of image retrieval.
相关性反馈是图像检索中一个重要的组成部分。
A novel fast rotation invariant image retrieval method was proposed.
提出了一种新型快速旋转不变图像检索新方法。
Extraction of object in an image is a precondition for semantic image retrieval.
图像目标提取是图像语义抽取及其应用的基础。
An image retrieval method based on user selected region of interest was proposed.
提出了一种基于用户选择感兴趣区域的图像检索方法。
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。
The key point of the semantic-based image retrieval is the semantic-based image annotation.
基于语义的图像检索的闭键和难里反在于基于语义的图像本注。
To cure the above problems, this paper presents a novel shape based image retrieval algorithm.
针对以上问题,该文提出了一种新的基于形状的图象检索算法。
Color and shape are common features which were used in the Content Based Image Retrieval System.
颜色和形状都非基于外容的图像检索体解外常常当用的特征。
The evaluation of texture similarity is very important in content-based image retrieval systems.
纹理相似性研究是基于内容检索研究中的一个重要组成部分。
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。
Firstly, this paper presents the trademark image retrieval method based on distance distribution histogram.
首先,本文提出了基于距离分布直方图的商标图像检索方法。
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。
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。
Relevance feedback algorithm based on support vector machine and rough set for image retrieval is approached.
研究基于支持向量机和粗糙集的相关反馈图像检索算法。
In this basis, the relevance feedback technology and relevance feedback model of content-based image retrieval.
在此基础上,引入基于内容的图像相关性反馈技术及相关性反馈模型。
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。
A novel automatic image annotation approach is proposed to bridge the semantic gap of content-based image retrieval.
针对图像检索中的语义鸿沟问题,提出了一种新颖的自动图像标注方法。
This paper proposes an indexing algorithm of clustering which supports QBE image retrieval for large image databases.
本文提出了一种有效的支持海量图像数据库Q BE查询的聚类索引算法。
In order to improve the performance of retrieval, relevance feedback technology has been introduced into image retrieval.
为了提高检索性能,将相关反馈技术引入图像检索。
The hue singularity of HSV and its influence on image retrieval under the low saturation and the low value were analyzed.
介绍了HSV在低饱和度和低亮度时的色调奇异性,分析了HSV的色调奇异性对图像检索的影响。
Finally, the two new salient point detectors are used for image retrieval and a new region-based image retrieval method is proposed.
最后,将两种新算法所提取特征点应用于图像检索,提出了一种新的基于区域特征的图像检索方法。
Complex moment invariants are discussed in detail. Application of the invariants in image retrieval and its algorithm are introduced.
讨论了复数矩不变性的实现方法,介绍了复数矩不变性在图像检索中的应用及算法。
The results indicate that the Content-based image retrieval method offers distinct advantages over some other image retrieval methods.
实验结果表明这种基于图象内容的检索方法,较方便和准确地达到了图象检索之目的。
This paper discusses digital library and image from three aspects: image form, image making and processing, image retrieval technology.
本文从图像格式、图像加工与处理和图像检索技术三个方面论述数字图书馆与图像。
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。
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。
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