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Description: 基于颜色的图像检索资料 及源代码
使用visual vc++ 平台-Color-based image retrieval of information and the source code using visual vc++ platform
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Author: linlin |
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Description: 该代码为基于内容的图像检索系统CBIR中相关反馈的代码，相关反馈可以提高检索的查全查准率-The code is content-based image retrieval system, relevance feedback CBIR in the code, relevance feedback can improve the retrieval recall precision
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Author: vivi |
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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: CBIR system....content based image retrieval system project folder
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Size: 7271424 |
Author: ganga |
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Description: 有关基于内容图像搜索引擎技术的探索与实践.pdf-For content-based image search engine technology to explore and practice. Pdf
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Size: 389120 |
Author: PENGHENG |
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Description: 3 files: imageslicer for splitting RGB image to 8 bit plans, getTopology to extract topology features features, and getShape to extract shape features . (good features for CBIR systems)
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Size: 1024 |
Author: dr.n.a.s |
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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: This code implements the concept of content based image retrieval concept using the technique described in The Application of DWT and SVD in Image Retrieval.
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Size: 646144 |
Author: vinay |
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Description: its the matlab coding for pattern recoganization in image processing using genetic algorithm-its the matlab coding for pattern recoganization in image processing using genetic algorithm
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Size: 224256 |
Author: suresh |
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Description: Content Based Image Retrieval, CBIR
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Size: 7279616 |
Author: plmnji |
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Description: 基于内容的图像检索，适合初学者学习参考资料，不错的学习资料-Content-based image retrieval, reference materials for beginners to learn, good learning materials
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Size: 9225216 |
Author: luoting0315 |
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Description: 本文以基于内容的图像检索为主，对检索系统的关键技术特别是图像特征提
取方面做了深入的研究。提出了一种结合图像颜色特征与图像语义特征的图像检
索新方法，克服了单纯的基于内容图像检索未曾考虑图像内容特征与其语义之间
鸿沟的缺点。-This dissertation briefly summarizes CBIR system，and researches some key
techniques of the image retrieval which specially focuses on feature extraetion．In this
paper we proposes a new method for image retrieval，it makes use of both content
feature and semantic feature of images．
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Size: 2089984 |
Author: 武燕 |
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Description: 基于内容的图像检索，基于颜色直方图与及颜色均值和空间颜色分布的图像检索方法-Content Based Image Retrerval
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Size: 2468864 |
Author: laozhao |
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Description: 毕业设计做的一个图像检索系统，实现基于颜色直方图、累加直方图的检索-Graduation to do an image retrieval system, color-based histogram, cumulative histogram of the retrieval
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Size: 4096 |
Author: 林中正 |
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Description: 基于色彩共生矩阵的CBIR方法杨振亚 杨振东 -the methods for CBIR is based on color co-occurrence m atrix
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Size: 390144 |
Author: 婷 |
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Description: Tamura Feature filter for cbir
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Size: 3158016 |
Author: shahzada |
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Description: 几篇比较重要的基于内容图像检索论文，系统介绍CBIR技术-CBIR technology content-based image retrieval papers, the system introduces a few more important
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Size: 2514944 |
Author: 周晓 |
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Description: Fundamentals of CBIR
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Size: 165888 |
Author: Raine Ahmed |
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Description: The visual architecture of CBIR system
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Size: 18432 |
Author: hermes |
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Description: CBIR on matlab,using access and matlab code.
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Size: 20754432 |
Author: hishgee |
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