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Description: Feature extraction is a key issue in contentbased
image retrieval (CBIR). In the past, a number of
texture features have been proposed in literature,
including statistic methods and spectral methods.
However, most of them are not able to accurately capture
the edge information which is the most important texture
feature in an image. Recent researches on multi-scale
analysis, especially the curvelet research, provide good
opportunity to extract more accurate texture feature for
image retrieval. Curvelet was originally proposed for
image denoising and has shown promising performance.
In this paper, a new image feature based on curvelet
transform has been proposed. We apply discrete curvelet
transform on texture images and compute the low order
statistics from the transformed images. Images are then
represented using the extracted texture features. Retrieval
results show, it significantly outperforms the widely used
Gabor texture feature.
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Size: 1426432 |
Author: Swati |
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Description: 基于纹理谱描述子的图像检索
提出一种新的纹理谱描述子应用于基于内容的图像检索中.讨论了小波变换的思想和纹理谱概念的联
系,根据纹理的视觉特性,提出纹理模式等价类的概念,设计出更合理的纹理谱描述子来描述图像的纹理特征.该纹
理模式刻画了领域内像素灰度变化模式,以纹理谱直方图方式表示图像纹理内容.分析了纹理谱的对称不变性和旋
-This paper presents a new texture spectrum descriptor for content-based image retrieval(CBIR).The
relation between wavelet transition and texture spectrum method is discussed.This paper proposes the concept of
texture pattern equivalent according to texture visual nature to educe more rational texture spectrum descriptor.The
proposed texture patterns depict the variational pattern of pixel gray scales in a domain to descript images texture
feature.It represents image content in the form of texture spectrum histogram.The symmetry invariant and rotation
robusticity are discussed.Comparison with Gabor features using general image dataset indicate that the proposed
texture descriptor takes lower extracting time and provides higher image retrieval accuracy.
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Size: 759808 |
Author: swx |
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Description: 非常经典的基于内容的图像检索综述，在图像检索领域引用最高的论文-One classical paper for content based image retrieval
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Size: 1398784 |
Author: adai |
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Description: 这篇文章是发表在08年ACM上的一篇图像检索综述，作者是PSU大学的博士毕业生，作者参考了300多篇文献，非常细致的讲述了image retrieval近几年的算法，方法，以及发展方向。-This article was published in the 2008 ACM on an image retrieval review, the author is a Ph.D. graduate PSU University, the authors made reference to more than 300 literatures, very careful about the image retrieval in recent years, algorithms, methods, and direction of development.
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Size: 2390016 |
Author: 刘宝弟 |
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Description: This code is about CBIR
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Size: 2129920 |
Author: sarhanah |
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Description: border segmentation for CBIR system using matlab
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Size: 50176 |
Author: sarhanah |
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Description: border segmentation for CBIR system using matlab
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Size: 520192 |
Author: sarhanah |
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Description: 老外開發的簡單CBIR演算法
使用Histogram-Foreigners developed a simple CBIR algorithms use Histogram
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Size: 7276544 |
Author: 朱建政 |
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Description: 基于颜色的图像检索算法研究，本文介绍了颜色直方图和颜色对方法在基于内容检索时的实现思路和理论。-Color-based image retrieval algorithm, this paper describes the color histogram and color of the method in content-based retrieval to achieve when the idea and theory.
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Size: 27648 |
Author: |
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Description: 图像检索的文献和PPT,对初学者帮助较大-Image Retrieval literature and PPT, for beginners to help older
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Size: 1593344 |
Author: xuhui |
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Description: 近年来，随着互联网的高速发展，网上的多媒体信息也急剧增加，这些多媒体信息以图像为主。如何从浩瀚的图像数据库中快速、准确地找出所需要的图像，己成为一个备受关注的研究课题。有效地组织、管理和检索大规模的图像数据成为迫切需要解决的问题。于是基于内容的图像检索(Content-Based Image Retrieval: CBIR)作为一个崭新的研究领域出现了。
本课题拟研究、分析彩色图像红、绿、蓝三基色直方图的生成、特征提取和相似度等问题，应用图像的颜色信息—三基色直方图对图像进行检索。针对基于颜色的图像检索，本文采用应用广泛的RGB颜色空间来表示图像的颜色特征，对颜色分量进行等间隔量化并形成特征矢量并对特征矢量进行归一化处理，采用图像均匀分块的方法引入图像中色彩所处的位置信息，用距离度量函数进行图像的相似性匹配。在此基础上实现了基于三基色直方图算法的检索系统。
本文的研究和实践对于促进基于内容的图像数据库检索技术的应用具有一定的参考价值和实践意义。-With the rapid development of Internet, the multimedia information is booming. All this information is mostly images. Effective recognizing, management and searching all these images have been an emergent problem. This has led the rise of a new research and development field: Content-Based Image Retrieval (CBIR).
The topics to research, analysis color images red, green and blue color histogram generation, feature extraction and the similarity of the issues, application of the color image- trichromatic histogram of the image retrieval. Based on the color against the static image retrieval, this paper application of a wide range of RGB color space to indicate the color image features, the color components, such as spacing and quantitative characteristics of a feature vector and a normalization of vector processing, using uniform image block the introduction of the method in which the color image Location information, and distance measuring function similar to the image of the match. On
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Size: 408576 |
Author: qichao |
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Description: 多媒体技术的发展和视觉信息的飞速膨胀迫切需要对视觉信息资源的有效管理和检索。由此，基于内容的图像和视频检索技术得到了越来越多的重视，成为了多媒体信息检索和图像处理领域中的重要研究方向。CBIR技术将对大规模图像信息的管理和访问提供有力支持。
本文这种介绍了内容图像检索的灰度特征实现方法，具有理论意义和实际应用价值。针对基于内容图像检索技术进行了研究，介绍了其研究现状和关键技术，讨论了其技术瓶颈和发展趋势。共生矩阵法，是对图像的所有像元进行统计调查，以便描述其灰度分布的一种方法。分析了这种基于广义图像灰度共生矩阵的图像检索方法，该方法首先将原图像作平滑处理得到平滑图像，然后将原图像和平滑图像组合得到广义图像灰度共生矩阵，提取该矩阵的统计特征量，最后将该统计量组成归一化向量用以检索。
实验结果表明，本方法的效果要优于单纯的灰度共生矩阵法。在对相似图像检索时，该算法与基于共生矩阵的经典算法相当，在面临同一图像大小显著改变或发生旋转的情况下，该算法明显优于经典算法。相比较而言，该算法提高了检索的有效性。
-The development of multimedia technology and the expansion of visual information，which cries for the effective management and retrieval methods of visual information. Thus, the image and video searching technology based on content is gaining more and more attention to become a multimedia information retrieval and image processing in the field of important research direction. The technology of CBIR provides effective supports for the management and access of extensive image information.
This paper introduced the content of the image retrieval method characteristics of gray, with theoretical and practical value. This paper does an extensive and in-depth study of technology based on content image retrieval to, presenting their research status and key technologies, discussing its development trends and technological bottlenecks. Co-occurrence matrix of all the pixel image survey has been conducted in order to describe a method of distribution of gray. This paper analyses this broad-based
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Size: 570368 |
Author: qichao |
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Description: Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval, Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network,CONTENT BASED IMAGE RETRIEVAL,Relevance Feedback,A survey of browsing models for content based image retrieval,Analysis of Relevance Feedback in Content Based Image Retrieval, Performance Evaluation in Content-Based Image Retrieval: Overview and Proposals, COMPARISON OF TECHNIQUES FOR CONTENT-BASED IMAGE RETRIEVAL
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Size: 3459072 |
Author: sunda |
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Description: On CBIR for Local Shapes.
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Size: 9247744 |
Author: S.Zixi |
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Description: On CBIR Texture Image Processing.
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Size: 1646592 |
Author: S.Zixi |
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Description: This document related to CBIR - Content Based Image Retreival System. Average RGB concept is used.-This document related to CBIR- Content Based Image Retreival System. Average RGB concept is used.
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Size: 59392 |
Author: rajan |
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Description: calculate seven hu moment for image recognition and CBIR
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Size: 1024 |
Author: Ahmed |
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Description: Client/Server programs to support image retrieval:
Client side program submits retrieval query (query parameters and
positive/negative samples) to the network server. The server side
program takes the query and creates the MATLAB engine instance.
Based on the submitted query option, the corresponding MATLAB script
in the file query_script.txt, is located and loaded in MATLAB. The
query is executed and result images are returned and displayed in
the client side.
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Size: 1744896 |
Author: ahmed |
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Description: CBIR，C#写的基于内容的图片检索系统，具有纹理直方图以及彩色栅格功能/-CBIR, C# to write content-based image retrieval system with texture and color histogram grid functions /
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Size: 37888 |
Author: Timix |
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Description: fundamentals of CBIR..
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Size: 165888 |
Author: arsenal.akshay |
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