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: |
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Author:耿上 |
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Description: Contourlet变换结合了不可分离的方向滤波组,具备小波所不能表达的多方向特性,能有效捕获自然图像的边缘轮廓信息。本文分析了图像ontourlet系数的统计特征,并利用广义高斯函数对各子带系数层进行建模。将此模型应用于基于VisTex的自建纹理图像库,采用矩匹配估计法,提取模型参数集,运用K2L距离计算图像间的相似度。对800幅纹理图像进行检索,本文方法比传统小波方法的平均检索查准率高出约2％到10％不等。实验结果表明,该方法改进了导向纹理的描述-Transform Contourlet inseparable combination of the direction of filtering group, have not expressed by wavelet multi-directional properties, can effectively capture the edge of natural image contour information. This paper analyzes the image ontourlet coefficient statistical characteristics, and take advantage of the generalized Gaussian function of the sub-band coefficient modeling layer. Based on this model was applied to the self-VisTex texture image database, using moment matching estimation method, extract the model parameters set, K2L use of distance-based similarity between images. Of 800 texture image retrieval, wavelet method than the traditional method of the average retrieval precision by about 2 to 10 range. Experimental results show that the method improves the texture-oriented description of Platform: |
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Author:焦亚民 |
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Description: 状是含有高层语义信息的视觉特征，在基于内容的图像检索及图像识别中具有重要的应用价值。有很多种描述子可以描述图像的形状特征，傅立叶描述子可以把二维的图像轮廓信息简化成一维问题进行处理，应用非常广泛。然而自然图像的形状特征通常是杂乱的，有噪声的，提出了一种图像预处理方法，得到净化的形状图像，通过实验研究傅立叶描述子算法提取形状特征的效果。-Abstract Shape is a visual feature which contains intrinsic high-level semantics, and has a great application value in CBIR(Content-Based Image Retrieval) and IR(Image Recognition). There are many descriptors for shape feature. Fourier descriptor predigests 2-demensional image information to 1-demensional signal and be used widely. In fact, the shape of natural image is often messy and noisy. So, this paper proposes a preprocessing method which can clean the noisy shape image, and then researches and analyses the shape feature extraction with Fourier descriptor method with an experiment.
Keywords Shape, Fourier Descriptor, Feature Extraction, CBIR(Content-Based Image R
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Author:倪晓雷 |
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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. Platform: |
Size: 1426432 |
Author:Swati |
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Description: 采用matlab，实现了gabor滤波的核心功能-gabor filter is very famous and really useful for texture feature extraction and image retrivel. attached code is wrriten well using matlab. More detail can be referenced in the paper <texture features for browsing and retrieval of image data> Platform: |
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Author:rocky |
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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 Platform: |
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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 Platform: |
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Author:qichao |
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Description: 在基于内容的图像检索中,图像的标注字能够缩小图像的高级语义和低级视觉内容
之间的差距,并方便检索. 但手工标注费时费力且结果具有主观不一致性,而图像的自动语义标注
能够将图像的视觉特征转化为图像的标注字信息,为用户的使用带来了极大的方便. 本文提出了一
种基于实例的图像自动语义标注方法.-In content2based image retrieval, annotations of image can not only reduce the gap between high2
grade semantics and low2grade visual content, but is also convenient for retrieval. Aswe all know, manual2annota2
tion is time2consuming, strength2consuming, and the annotation resultsmay be subjectively different, while the au2
tomatic image annotation can transform the visual features into annotations. This benefits users a lot. In this paper,
we p ropose an instance2based method for automatic image annotation Platform: |
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Author:张三风 |
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Description: retrieval based on color feature has great practical value.
In this paper, the color distribution of endoscope image
in HSV color space is analyzed and a non-even color
quantification method is given, then all the endoscope
images’ color features are extracted. At last three
experiments are designed to prove the validity of these
methods in endoscope image retrieval. Platform: |
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Author:rach |
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Description: 该文发表于08年，研究了近十年来约300篇图像检索论文，涉及主要的经典理论、图像标注并讨论了相关子领域。该文还讨论了如何利用现有的图像检索技术构建现实中图像系统，是一篇不可多得的图像检索综述。-The article surveys almost 300 key theoretical and empirical contributions in the current
decade related to image retrieval and automatic image annotation, and in the process discuss the spawning of
related subfields.The paper also discusses significant challenges involved in the adaptation of existing image retrieval
techniques to build systems that can be useful in the real world. Platform: |
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Author:chengyu |
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Description: 该论文具有内容图像检索功能，根据颜色，形状，纹理以达到搜索的目的。熟练应用c++语言编译代码。-The paper has content image retrieval function, according to color, shape and texture to achieve the purpose of search. Proficient in code c++ compiler. Platform: |
Size: 6173696 |
Author:穆振兴 |
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Description: 介绍了一个基于特征的图象查询和检索系统.该系统由查询模块、特征提取和描述模块、匹配模块、图象显示模块和图象库管理模块组成.系统既支持基于颜色、纹理、形状的单一特征查询,也支持结合不同特征的更符合视觉要求的综合特征查询.该系统已结合实际图象库进行了查询和检索实验,文中给出一些实际检索结果.
-Describes a feature-based image query and retrieval system. The system consists of query module, feature extraction and description of the module, matching module, image display module and image database management module. System not only supports color, texture, shape single feature queries, and also supports a combination of different features more in line with requirements of the integrated features of the visual query. The system has been carried out with the actual image database query and retrieval experiments, the paper gives some actual search results. Platform: |
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Author:陈怡 |
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Description: 基于颜色分块的论文，很不错，值得看的一篇论文 基于分块主颜色匹配的图像检索
中文的-Color block-based papers, very good, worth looking at the paper-based block the main colors match the image retrieval Chinese Platform: |
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Author:jj |
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Description: 发表在ieee上的文章，介绍基于特征点的图像匹配方法，适合学习图像匹配的同学学习。-Articles published in the ieee, image matching algorithm based on feature points is presented in this paper, suitable for image matching students learning. Platform: |
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Author:sunyu |
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Description: 基于纹理语义特征的图像检索研究。关于图形图像检测的一篇论文。比较新，适合研究生读-Image retrieval based on texture semantic features. Detection of a graphic image on the paper. Relatively new for students to read Platform: |
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Author:胡同学 |
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Description: Based on the analysis of methods of CBIR and
chest image characteristic, in this paper, color
correlogam, dominant color of partition, gray level
co-occurrence matrix, gray-gradient co-occurrence
matrix and shape invariant moments were extracted as
retrieval feature. After comparison of their retrievals,
feature fusion and relevance feedback is proposed.
Experiments proved that the combining color, texture
with shape feature gets effective retrieval and relevance
feedback further more improves retrie Platform: |
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Author:Salkoum |
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Description: 本文主要研究基于图像颜色特征的检索。选用基于颜色直方图的算法，并利用Visual Basic程序设计语言和Access数据库技术设计实现了基于颜色直方图算法的图像检索系统。-This paper studies the characteristics of the color-based image retrieval. Selection algorithm based on color histogram and use Visual Basic programming language and Access database design and implementation of image retrieval system based on color histogram algorithm. Platform: |
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Author:张海 |
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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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Search - paper image retrieval