image retrieval

Compared to MSE results, our LBP operator is more robust than the previous methods and its required computation time is sufficient for image retrieval systems.

与使用均方误差（MSE）的结果相比，该方法具有更好的鲁棒性并满足在图像检索系统中所要求的计算时间限制。

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Research on Algorithms of LPP for Image Retrieval

保局投影算法在图像检索中的应用研究

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Construction Method of a New Type Semantic Network for Image Retrieval

一种新型图像检索语义网络构建方法

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PSO and Its Application to Relevance Feedback in Image Retrieval.

粒子群优化算法及其在图像检索中相关反馈上的应用.

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Finally, on the basis of algorithms mentioned above, the prototype system of image retrieval based on shape features is developed, with the realization of programming each module, and the comparison between retrieval performances of two algorithms.

最后，作者在以上算法的研究基础上，开发了一个基于形状特征的图像检索的原型系统，实现了系统各模块的编程，并对本文中提出的两种算法的检索性能进行了对比实验。

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A new k-nearest neighbor search algorithm based on VA-File for relevance feedback image retrieval is introduced in this paper.

对向量近似方法中k近邻搜索算法加以改进，应用到基于相关反馈的交互式图像检索系统中。

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Image segmentation is the key step in region-base image retrieval.

图像分割是基于区域的图像检索技术的关键步骤.

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In this paper, an approach to color-based image retrieval based on histogram combined with color block is proposed.

提出了一种基于颜色直方图与颜色块相结合的图像检索的新方法。

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Research on Several Key Issues of Emotional Semantic Image Retrieval

基于情感语义的图像检索关键技术研究

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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。

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This paper considers the characteristic of content-based image retrieval ( CBIR) and SAR image together, proposing a method of SAR image retrieval.

本文综合考虑了基于内容的图像检索及SAR图像的特点提出了基于高斯混合模型分类的SAR图像检索方法。

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Image retrieval based on salient points in compressed domain

基于压缩域显著点的图像检索方法

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An Image Retrieval Algorithm Based on the HSI Color Space Accumulative Histogram

基于HSI色彩空间累加直方图的图像检索算法

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Thus, the semantic image retrieval and classification is proposed.

针对这一问题，提出了图像语义检索和分类技术。

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However, the medical image retrieval technology is unsatisfied, and becomes a bottleneck for full use of digital medical images.

但是，目前医学图像检索技术的发展则相对滞后，成为制约数字医学图像充分利用的一个瓶颈。

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Experiment shows that the proposed VK-LLE method can achieve higher precision rate in content based image retrieval problem.

实验结果表明，提出的可变k近邻LLE数据降维方法在基于内容的图像检索中有较高的检索准确率。

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Fast Image Retrieval Based on LSH Indexing

基于LSH索引的快速图像检索

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Face detection has a wide range of applications in video surveillance, content-based image retrieval and facial expression recognition system.

人脸检测还在视频监控、基于内容的图像检索、人脸表情识别系统等方面有着广泛的应用。

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Image Retrieval Based on Dominant Color and Dominant Color Block

基于主色和主色块的图象检索

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The Latent Semantic Image Retrieval Based on Non-negative Matrix Factorization

基于非负矩阵分解的隐含语义图像检索

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This is the image retrieval algorithm two core program.

站长!这是图像检索算法的两个核心程序.

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The paper presents a new content-based image retrieval method.

摘要文中提出了一种新的基于多分辨率直方图的图像样本检索方法.

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Relevance Feedback and Support Vector Machine learning are introduced into the contend-based image retrieval system. We also compare DTW GSVM results to UFM GSVM's which proves that the algorithm of DTW GSVM is effective.

在基于内容的图像检索原型系统中引入了相关反馈和支持向量机，并将DTW+GSVM算法与UFM+GSVM算法比较，验证了该算法的有效性。

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Semantic analysis of facial features and face replacement technology in privacy protection, intelligent human-computer interaction, facial image retrieval, video effects, and public safety has important application value.

人脸特征语义分析与人脸替换技术在隐私保护、智能人机交互、人脸图像检索、影视特技、公共安全等方面有着重要的应用价值。

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In the phase of region matching, this paper elucidates some matching algorithms commonly used and makes a contrast between the image retrieval efficiency based on the IRM and the UFM matching scheme.

在图像匹配阶段，本文概要阐述了一些常用的图像匹配方法，并对比了IRM和UFM两种匹配方法的图像检索效果。

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As a result, recent research on image retrieval has shifted to semantic image retrieval.

因此，现在关于图像检索的研究已转换到语义图像检索中。

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The technology can be widely used in image retrieval, video coding, biometric authentication, computer security, electronic commerce.

该技术能广泛应用于基于内容的图像检索、生物认证、视频编码、计算机安全、电子商务等领域。

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Statistical features are selected by genetic algorithm, which are applied in content-based brain CT image retrieval.

利用遗传算法对图像的统计特征进行了特征选取，并应用于颅脑CT图像检索中。

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Through this platform to verify the effectiveness of the BVH image retrieval algorithms.

通过该平台有效地验证了基于重心向量直方图的图像检索算法的有效性。

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Develop a semantic image retrieval method using multiple instance learning.

提出了一种采用多示例学习的图像语义检索方法。

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