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Description: Very good article about color and texture descriptions for CBIR.
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Size: 320967 |
Author: ning zhang |
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Description: Very good article about color and texture descriptions for CBIR.
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Size: 320512 |
Author: ning zhang |
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Description: matlab编程，基于颜色和纹理的图像检索算法的研究，思路清晰，方法有效。-matlab programming, based on the color and texture image retrieval algorithm is clearly thought effective.
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Size: 138240 |
Author: jiashijie |
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Description: 基于兴趣点颜色及纹理特征的图像检索算法，通过同类比较，平均检索准确率提高11个百分点。-Based on the interest points and texture features of color image retrieval algorithm, through a similar comparison, the average retrieval accuracy rate of 11 percent improve.
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Size: 1842176 |
Author: jiashijie |
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Description: 用VC实现了基于内容的图像检索，支持基于颜色与纹理的检索。-Implement the CBIR by Visual C++,support methods based on color and texture.
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Size: 3020800 |
Author: 谭志鹏 |
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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: On CBIR Texture Image Processing.
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Size: 1646592 |
Author: S.Zixi |
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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: 1．分析研究了基于内容的图像检索系统的工作原理，关键技术如：纹
理、形状等图像底层特征的描述方法， 图像间的相似性度量方法，
图像库索引机制等。
2．研究了基于纹理特征的图像检索方法，并提出了一种基于NSCT 变
换的纹理特征提取方法。通过对SAR 图像及相关图像进行NSCT
分解，计算不同尺度不同方向上的系数幅度序列的均值，标准方差
和三阶中心矩，以此构成特征向量来描述图像的纹理。实验证明本
文提出的采用NSCT 算法有较好的特征提取效果，引入三阶中心矩
作为特征向量优于只使用均值和方差的组合特征，提高了图像检索
的查准率。
3．研究了基于形状特征的图像检索方法，并提出一种基于NSCT变换
的形状特征提取方法。把改进型Canny算子和NSCT变换相结合，先
对SAR图像及相关图像运用改进型Canny算子提取边缘，在此基础
上再进行NSCT变换，把图像的形状信息分解到不同尺度不同方向
上，从而保留各个频率分量，减少了图像形状信息的丢失。-1. First we analyze and study the principle of image retrieval system and
key techniques and algorithms of CBIR, such as the low-level feature
descriptions including texture, shape, the similarity measure between
images, the indexing methods and so on
2. Researching on the texture-based image retrieval algorithm, we
propose an algorithm of texture feature extraction based on the
Nonsubsampled Contourlet transform in this thesis. The image is
decomposed by the Nonsubsampled Contourlet transform. The mean,
standard deviation and third central moment of the magnitude of the
Nonsubsampled Contourlet coefficients at different scales and directions
are computed to extract the texture feature vector.Experiment proves the
third central moment added in NSCT arithmetic is overperformded than
only use the mean and standard deviation, and precision ratio has
improved.
3. Researching on the shape-based image retrieval algorithm, we propose
an algorithm of shape feature extraction bas
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Size: 401408 |
Author: 周二牛 |
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Description: Content-based medical image retrieval is now getting more and more attention in the
world, a feasible and efficient retrieving algorithm for clinical endoscopic images is urgently
required. Methods: Based on the study of single feature image retrieving techniques, including color
clustering, color texture and shape, a new retrieving method with multi-features fusion and relevance
feedback is proposed to retrieve the desired endoscopic images. Results: A prototype system is set
up to evaluate the proposed method’s performance and some evaluating parameters such as the
retrieval precision & recall, statistical average position of top 5 most similar image on various features, etc.
are therefore given. Conclusions: The algorithm with multi-features fusion and relevance feedback
gets more accurate and quicker retrieving capability than the one with single feature image retrieving
technique due to its flexible feature combination and interactive relevance feedback.
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Size: 359424 |
Author: gokul/goks |
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Description: 本源码是用C++编写的基于内容的图像检索，采用形状、颜色、纹理三个特征的加权值作为特征向量。-The source code is written in c++ of content-based image retrieval, the shape, color, texture three characteristics of the weighted value as the characteristic vector.
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Size: 3522560 |
Author: jack |
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Description: cbir intoduction for colour and texture matching
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Size: 284672 |
Author: bhavlee |
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Description: CBIR系统中采用的tamura纹理特征计算程序-Tamura texture features used in CBIR system calculation program
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Size: 2048 |
Author: 蒲金霞 |
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Description: tamura features for image classificaion or CBIR
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Size: 703488 |
Author: tarun |
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Description: Cbir, color, texture, edge
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Size: 157696 |
Author: gakonstupid |
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Description: 基于内容的图像检索（Content-based Image Retrieval，简称CBIR）技术被提出。这一技术的出现提高了图像检索的准确性，它通过提取图像本身的内在客观特征如颜色、纹理、形状、布局等关系，并比较这些视觉特征间的相似性，自动搜索出符合用户要求的图像。-Content-based image retrieval (Content-based Image Retrieval, referred to as CBIR) techniques have been proposed. The emergence of this technology to improve the accuracy of the image retrieval, intrinsic objective characteristics by extracting an image itself such as color, texture, shape, layout relations, and compare the similarity between the visual characteristics, automatically searched out in accordance with the user requirements images.
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Size: 2048 |
Author: 周佳森 |
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Description: 基于内容的图像检索 基于颜色、纹理、形状的图像检索
基于区域的图像检索
基于语义的图像检索
相关反馈
-Based on the content-based image retrieval based on color, texture, shape-based image retrieval region-based image retrieval based on semantic image retrieval relevance feedback
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Size: 5519360 |
Author: liuyi |
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Description: 综合多个特征的图像检索，包括颜色、形状和纹理等-Integrated multiple features for image retrieval, including color, shape and texture
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Size: 349184 |
Author: 马亚琼 |
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Description: 基于内容的图像检索，能搜索相似图像。基于颜色，形状和纹理的图像检索。(Content based image retrieval can search similar images. Image retrieval based on color, shape and texture.)
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Size: 65536 |
Author: 大王123456 |
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