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Description: Image Viewer Applet是一个Java applet，可以显视图像的原始文件及其索引图像。图像加载按多线程方式进行，并可以缓存图像。可以用XML配置GUI组件。可以激活一个幻灯片显视，并显视图像的注释-Image Viewer Applet is a Java applet that can significantly the visual image of the original document and indexing images. Image loading by multiple threads, and can be cached images. XML configuration can be used GUI components. A slide can be activated as significant, and significantly the visual image of the Notes
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Author: 常葳 |
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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.
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Author: 陈建文 |
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Description: 清华大学的博士论文面向大规模图像库的索引和检索机制研究-Tsinghua University doctoral dissertation-oriented large-scale image database indexing and retrieval mechanisms
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Author: cailei |
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Description: Image indexing by Shape and Color.
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Size: 61440 |
Author: Ian |
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Description: 将真彩色图像转为索引图像，压缩很有用的图像，希望大家喜欢！-true color image to image indexing, compression useful images, hope you like them!
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Size: 96256 |
Author: 周鹏 |
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Description: 用源彩色图像索引方法对图像进行颜色重建，通过一幅相近的彩色图像即可对灰度图像进行上色-With the source color image indexing method of color image reconstruction, the adoption of a similar color images to grayscale images of color
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Author: gyp |
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Description: Lire 0.7 is a major release fixing a lot of bugs and introducing several new features including new descriptor, a simplified way to use descriptors by introducing new generic searchers and indexers as well as an generalized interface for image descriptors. There are also several improvements in indexing and search speed (especially in autocolorcorrelogram). Furthermore retrieval performance was optimized based on the Wang 1000 data set. If you use Lire 0.7 to update an existing version, please make sure that your indices are created newly from scratch.
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Author: chenglong |
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Description: This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the GPU-based implementation.
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Author: Alex |
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Description: Content Based Image Retrieval
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Author: Ankush |
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Description: 随着多媒体、网络技术的迅速发展，图像信息的应用日益广泛，对规模越来越大的图像数据库、可视信息进行有效的管理成为迫切需要解决的问题，灵活、高效、准确的图像检索策略是解决这一问题的关键技术之一。因此，基于内容的图像检索已成为国内外学者研究的主要热点问题，并取得了不少的成果。
本文主要对当今热门的基于内容的图像检索技术进行了研究，重点对它的算法进行研究。在半年的时间里，通过查阅很多相关的资料，并认真学习了基于内容的图像检索的基本理论，特别是深入研究了颜色直方图理论和累加直方图算法，最后在MATLAB平台下编程实现此系统，该系统可以实现基本图像检索的功能，根据用户输入的样本图像来与图像库中的图像进行特征匹配，然后找出与样本图像距离比较小的若干幅图像，并按照图像之间的距离由小到大的顺序显示给用户。
经过对该系统进行反复的调试运行后，该系统所实现的功能基本达到了设计目标，并且运行良好。当用户提供出所要查询的关键图后，系统就可以从用户提供的图像库中检索到与关键图相似的图片并排序返回给用户，达到了预期效果。
-With the rapid development of the multimedia and the network technology, the image information becomes more widely available, increasing the size of the image database, visual information for effective management of an urgent need to address the problem, flexible, efficient and accurate image retrieval strategy solve this problem one of the key technologies. The researchers are so keen on Content-Based Image Retrieval that they have made much progress.
In this paper, today s popular content-based image retrieval technology is analyzed. And it mainly focuses on the research of its algorithm. In a period of half a year, Through access to relevant information and to seriously study the content-based image retrieval of the basic theory, in particular, in-depth study of the color histogram theory and cumulative histogram algorithm. Finally, this system should be implemented under the platform of the MATLAB by programming. In this system, the basic image retrieval functions can be achieved.
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Author: qichao |
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Description: indexing image free document segmentation
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Author: rach |
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Description: an article about graph kernel for image retrieval. A new method for indexing image based on region of intereset.
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Author: Mohammad |
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Description: 提出了一种有效用于抽取特征、索引和检索彩色图像的技术途径. 通过提取图像的颜色不变量, 建立相应
的色度直方图(hue h istogram) 来表示图像的颜色分布特征. 为了描述图像中对象的位置及方向特征, 首先计算图像的色度轮廓并对其进行Radon 变换, 然后计算相应的“空间直方图”.-Proposes an effective feature for the extraction, indexing and retrieval of color images of the technical ways. By extracting the image color is not a variable, set up a corresponding color histogram (hue h istogram) to represent the color distribution of the image. In order to describe the image the location and orientation of objects characteristic of the first calculation of the image color profile and gain Radon transform, and then calculates the corresponding " space histogram."
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Author: 史习云 |
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Description: 基于点的matlab图像配准.提出一种基于小波系数的特征索引算法，实现了图像特征点对的快速搜索和两幅图像之间的匹配-Based on the point of matlab Image Registration. Presents a feature based on wavelet coefficients indexing algorithm to realize the image feature points on the fast search and matching between two images
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Author: 杨博明 |
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Description: This paper proposes the use of a vector of color histogram
peaks a n efficient and effective way for many image indexing
problems. It shows that histogram peaks are more stable than
general histogram bins when there are variation of scale and/or scale.
We also introduce the structure of a room recognition system which
applies this indexing technique to omni-directional images of rooms.
Experimental results shows that using only peaks leads to significantly
less time and storage demands an still provides recognition
rates across a database of hundreds of rooms.-This paper proposes the use of a vector of color histogram
peaks as an efficient and effective way for many image indexing
problems. It shows that histogram peaks are more stable than
general histogram bins when there are variation of scale and/or scale.
We also introduce the structure of a room recognition system which
applies this indexing technique to omni-directional images of rooms.
Experimental results shows that using only peaks leads to significantly
less time and storage demands an still provides recognition
rates across a database of hundreds of rooms.
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Size: 423936 |
Author: zlq |
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Description: 大规模图像检索的代码，matlab与c++混合编程。总结了目前图像检索领域目前主要存在的方法。通过阅读该代码，可以对于经典的“词袋”模型（bow模型）有个具体的了解，但是该代码没有提供前序的特征提取，是直接从对提取好的特征向量聚类开始的，包括了k-means，分层k-means（HKM）聚类，倒排文件的建立和索引等，该代码还提供了局部敏感哈希（LSH）方法。最后，这份代码是下面这篇论文的作者提供的，
Indexing in Large Scale Image Collections: Scaling Properties and Benchmark-This C++/Matlab package implements several algorithms used for large scale
image search. The algorithms are implemented in C++, with an eye on large
scale databases. It can handle millions of images and hundreds of millions
of local features. It has MEX interfaces for Matlab, but can also be used
(with possible future modifications) from Python and directly from C++. It
can also be used for approximate nearest neighbor search, especially using
the Kd-Trees or LSH implementations.
The algorithms can be divided into two broad categories, depending on the
approach taken for image search:
1. Bag of Words:
----------------
The images are represented by histograms of visual words.
It includes algorithms for computing dictionaries:
* K-Means.
* Approximate K-Means (AKM).
* Hierarchical K-Means (HKM).
It also includes algorithms for fast search:
* Inverted File Index.
* Inverted File Index with Extra Information (for example for implementing
Hamming Embedding).
*
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Author: 薛振华 |
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Description: 索引图像，图像转换，数字图象加法，直方图算法-Image indexing, image conversion, image addition, histogram algorithm
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Size: 1024 |
Author: 陈拓 |
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Description: 图像拼接技术可广泛应用于诸多领域，在宇宙空间探测、海底勘测、医学、气象、地质勘测、军事、视频压缩和传输、档案的数字化保存、视频的索引和检索、物体的三维重建、数码相机的超分辨率处理等领域都有广泛应用。
-Image stitching technology can be widely used in many fields, detection in space, seabed survey, medical, meteorological, geological surveying, military, video compression and transmission of files for digital preservation, video indexing and retrieval of three-dimensional reconstruction of the object, a digital camerathe super-resolution processing has a wide range of applications
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Author: Jason |
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Description: ieee论文：建立在比例算子上的高分辨率SAR图像索引-ieee papers: the establishment of a high-resolution SAR image index in the proportion of operator
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Author: 小贝 |
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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
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Author: fia4joy |
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