Description: 本程序实现了基于内容的图像检索功能,也就是说如何根据图像的内容从多媒体数据库中索引或发现匹配的图像,所用的方法是傅立叶变换,小波变换等技术.-the program content-based image retrieval functions, in other words how images from the multimedia database indexing or find matching images, the methodology used is the Fourier transform, wavelet technology. Platform: |
Size: 20775 |
Author:陈建文 |
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Description: matlab编程，实现了基于内容的图像检索，基于颜色直方图和边缘直方图-Matlab programming, achieve a content-based image retrieval, based on the color histogram and the marginal histogram Platform: |
Size: 3696 |
Author:egal |
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Description: 关于基于内容的图像特征的检索VC的实现,包括直方图,累计直方图等-on content-based image retrieval features of the VC achieve, including the histogram, such as cumulative histogram Platform: |
Size: 7904 |
Author:江兰 |
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Description: 基于内容的图像检索技术可以应用到军事图像种目标的检索-content-based image retrieval technology can be applied to the military objectives of the species Image Retrieval Platform: |
Size: 687807 |
Author:张力 |
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Description: VC＋＋源代码，难得的图像搜索算法，可以很好的用于基于内容的图像检索中-VC + + source code, a rare image search algorithm can be very good for Content-Based Image Retrieval Platform: |
Size: 2990 |
Author:趁两 |
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Description: 基于内容的图像检索，博士毕业学位论文，搞这方面的可以-content-based image retrieval, Dr. graduate thesis and engage in this area can s Platform: |
Size: 7599997 |
Author:cailei |
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Description: 基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等
相似度：马氏距离，欧氏距离等
相关反馈：机器学习方法，如SVM，神经网络等
检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram; Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance Platform: |
Size: 160149 |
Author:耿上 |
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Description: 随着计算机技术和国际互联网的飞速发展，包括图像在内的各种多媒体数据的数量正以惊人的速度增长，人们很容易在多媒体信息海洋中迷失方向，如何从中有效地检索有用信息是一个很关键和迫切的问题。本文回顾了图像检索技术的发展状况，阐述了基于内容的图像检索的关键技术，结合认知心理学模型和智能科学技术，重点探讨了未来图像检索的发展方向和技术路线。 -with computer technology and the Internet's rapid development, include images of various kinds of multimedia data volume is a phenomenal growth rate. it is very easy to multimedia information in the ocean lost direction, How can effectively retrieve useful information is a critical and urgent issue. This paper reviews the image retrieval technology development, elaborated on the content-based image retrieval of key technologies, cognitive psychology and the cognitive model of science and technology, with an emphasis on the image retrieval future direction of development and technical route. Platform: |
Size: 12961 |
Author:耿上 |
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Description: 基于内容的图像检索matlab小程序，使用图像的9种主要颜色为检索特征。-content-based image retrieval Matlab small, the use of images of the nine main colors for the retrieval features. Platform: |
Size: 2366 |
Author:曹魁 |
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Description: Background of Content Based Image Retrieval(CBIR)
Analysis of Previous Work
Results of Existing Methods
Scalable Image Indexing and Retrieval
Proposed Indexing System(overview)
wavelet transform and HSL color conversion
Feature Space(Energy and Color)
Image Key Generation
Scalable Database Structure
Steps Involved in the Indexing Process
Experimental Results
Conclusions and Future Work
Counter Examples
Platform: |
Size: 1363968 |
Author:fia4joy |
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Description: the demand for automatically recognizing and retrieving medical image for screening,reference and management is growing faster than ever.In this paper present an intelligent content based image retrieval system called I-Browsewhich integrate both iconic and semantic content for histopathological image
. Platform: |
Size: 747520 |
Author:jincy |
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Description: This a simple demonstration of a content based image retri using 2 techniques.
1. Using knn for image retri
2. Using svm for image retri .-This a simple demonstration of a content based image retri using 2 techniques.
1. Using knn for image retri
2. Using svm for image retri . Platform: |
Size: 5359616 |
Author:walaaelhady |
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Description: This paper provides a comprehensive survey of the technical achievements in the
research area of image retri , especially content-based image retri , an area that
has been so active and prosperous in the past few years. The survey includes 100+
papers covering the research aspects of image feature representation and extraction,
multidimensional indexing, and system design, three of the fundamental bases of
content-based image retri . Furthermore, based on the state-of-the-art technology
available now and the demand real-world applications, open research issues are
identified and future promising research directions are suggested-This paper provides a comprehensive survey of the technical achievements in the
research area of image retri , especially content-based image retri , an area that
has been so active and prosperous in the past few years. The survey includes 100+
papers covering the research aspects of image feature representation and extraction,
multidimensional indexing, and system design, three of the fundamental bases of
content-based image retri . Furthermore, based on the state-of-the-art technology
available now and the demand real-world applications, open research issues are
identified and future promising research directions are suggested Platform: |
Size: 92160 |
Author:silkan |
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Description: 基于内容的图像检索系统（Content Based Image Retri , 以下简称CBIR），是计算机视觉领域中关注大规模数字图像内容检索的研究分支。典型的CBIR系统，允许用户输入一张图像，在图像数据库（或本地机、或网络）中查找具有相同或相似内容的其它图片。本实训的基本功能要求是实现基于视觉特征的图像检索。-Content-based image retri system (Content Based Image Retri , hereinafter referred to as CBIR), is concerned about the large-scale computer vision field of digital image content retri research branch. Typical CBIR system that allows users to input an image, in the image to find (or local machine or network) with the same or similar content to other pictures. The basic functional requirements of the training is to realize image retri based on visual characteristics. Platform: |
Size: 10582016 |
Author:zrx |
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Description: 最新的几篇图像检索方面的论文。在检索原理上，无论是基于文本的图像检索还是基于内容的图像检索，主要包括三方面：一方面对用户需求的分析和转化，形成可以检索索引数据库的提问；另一方面，收集和加工图像资源，提取特征，分析并进行标引，建立图像的索引数据库；最后一方面是根据相似度算法，计算用户提问与索引数据库中记录的相似度大小，提取出满足阈值的记录作为结果，按照相似度降序的方式输出。-The latest image retri several papers. On a retri principle, whether it is text-based image retri and content-based image retri , mainly includes three aspects: one user needs analysis and transformation, the formation can be retrieved index question on the other hand, the collection and processing of images resources, extracting features, analysis and indexing, create an image of the index and finally the one hand, according to the similarity algorithm to calculate the size of the user question and the similarity index records in the , extract the records that meet the threshold as a result, according to similarity degree descending output. Platform: |
Size: 35961856 |
Author:猫熊 |
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Description: The feature vector of
an image can be derived from the histograms of its color
components and finally can set the number of bins in the color
histogram to obtain the feature vector of desired size. Thus the
grid code of an image is obtained through the quantization of the
feature vector derived from the histogram of the desired color
component of the image. In order to have similar features of the
images the grid code must be same for all Images in the grid Platform: |
Size: 2532942 |
Author:msujikumar87@gmail.com |
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Search - content based image retrieval