Description: 基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等
相似度：马氏距离，欧氏距离等
相关反馈：机器学习方法，如SVM，神经网络等
检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram; Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance Platform: |
Size: 160149 |
Author:耿上 |
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Description: 所谓基于内容图像的检索是指由图像分析软件对输入的图像先进行图像分析，根据图像中物体或区域的颜色(color)、形状(shape)或纹理(texture)等特征以及这些特征的组合，自动抽取特征，在将输入图像存入图像库的同时将其相应的特征向量也存入与图像库相连的特征库。-so-called content-based image retrieval is by image analysis software on the importation of the first images for image analysis. According to image objects or regional color (color). Shape (shape) or texture (texture), and other characteristics of these features combined, Automatic feature extraction. in the input image into the image of the corresponding eigenvector also credited with images linked to the characteristics of the library. Platform: |
Size: 70906 |
Author:大海 |
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Description: 基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等
相似度：马氏距离，欧氏距离等
相关反馈：机器学习方法，如SVM，神经网络等
检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram; Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance Platform: |
Size: 159744 |
Author:耿上 |
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Description: 所谓基于内容图像的检索是指由图像分析软件对输入的图像先进行图像分析，根据图像中物体或区域的颜色(color)、形状(shape)或纹理(texture)等特征以及这些特征的组合，自动抽取特征，在将输入图像存入图像库的同时将其相应的特征向量也存入与图像库相连的特征库。-so-called content-based image retrieval is by image analysis software on the importation of the first images for image analysis. According to image objects or regional color (color). Shape (shape) or texture (texture), and other characteristics of these features combined, Automatic feature extraction. in the input image into the image of the corresponding eigenvector also credited with images linked to the characteristics of the library. Platform: |
Size: 70656 |
Author:大海 |
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Description: 针对目前的基于特征的图像检索中没有有效地结合图像中对象空间信息的问题，提
出了一种新的融合了颜色、空间和纹理特征的图像特征提取及匹配方法。为了减少时间
间复杂度，首先通过基于普通颜色直方图的检索得到初始图像集合，然后根据提出的结合空间、纹理特征加权度量对初始图像集合再进行检索，从而得到最后更符合要求的相似图象-View of the current feature-based image retrieval is not effective integration of image information of objects in space, we propose a new blend of colors, space and texture features of image feature extraction and matching method. Time interval in order to reduce complexity, first of all, the general color histogram-based retrieval has been the initial image set, and then on the basis of the combination of space, texture characteristics of the weighted measure of the initial image and then search the collection, thus more in line with the requirements of the final similarity Image Platform: |
Size: 9111552 |
Author:丁丁 |
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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. Platform: |
Size: 138240 |
Author:jiashijie |
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Description: 基于颜色和纹理特征图像检索技术的研究，从CNKI上买来的，希望对大家有用！-Based on color and texture features of image retrieval research, from CNKI bought, and I hope useful for all of us! Platform: |
Size: 338944 |
Author:李自凯 |
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Description: 基于纹理特征和颜色直方图的内容图像检索源代码-Texture features based on color histogram and image retrieval of the contents of the source code Platform: |
Size: 185344 |
Author:tianyun |
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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: 用matlab写的纹理特征参考《基于颜色空间和纹理特征的图像检索》-Matlab write with reference to the texture characteristics of " color space and texture-based Image Retrieval" Platform: |
Size: 2048 |
Author:steveliu |
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Description: 图像检索，包括基于颜色和纹理两种检索方法-Image retrieval, including those based on color and texture are two retrieval Platform: |
Size: 77824 |
Author:郭静 |
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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: |
Size: 100352 |
Author:陈怡 |
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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. Platform: |
Size: 359424 |
Author:gokul/goks |
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Description: 一个Java实现的基于内容的图像检索工具包，可用来提取图像的颜色特征、纹理特征（Gabor Filter）以及形状特征，并在此基础上判断图像相关性。-Java implementation of a content-based image retrieval toolkit, which can be used to extract the image' s color features, texture features (Gabor Filter), and shape features, and on this basis to determine the image correlation. Platform: |
Size: 41984 |
Author:杜可 |
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Description: matlab图像处理算法集合，参考《基于颜色空间和纹理特征的图像检索》
-matlab image processing algorithm set, see " Color Space and Texture Based Image Retrieval" Platform: |
Size: 427008 |
Author:苏子 |
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Description: 基于图像检索的matlab代码，基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等 相似度：马氏距离，欧氏距离等 相关反馈：机器学习方法，如SVM，神经网络等 检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance Platform: |
Size: 164864 |
Author:EmilyFu |
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Description: Image retri techniques are useful in many image-processing applications. Content-based image retri systems work with whole images and searching is based on comparison of the query. General techniques for image retri are color, texture and shape. These techniques are applied to get an image the image . They are not concerned with the various resolutions of the images, size and spatial color distribution. Hence all these methods are not appropriate to the art image retri . Moreover shape based retri s are useful only in the limited domain. The content and metadata based system gives images using an effective image retri technique. Many other image retri systems use global features like color, shape and texture. But the prior results say there are too many false positives while using those global features to search for similar images. Hence we give the new view of image retri system using both content and metadata -Image retri techniques are useful in many image-processing applications. Content-based image retri systems work with whole images and searching is based on comparison of the query. General techniques for image retri are color, texture and shape. These techniques are applied to get an image the image . They are not concerned with the various resolutions of the images, size and spatial color distribution. Hence all these methods are not appropriate to the art image retri . Moreover shape based retri s are useful only in the limited domain. The content and metadata based system gives images using an effective image retri technique. Many other image retri systems use global features like color, shape and texture. But the prior results say there are too many false positives while using those global features to search for similar images. Hence we give the new view of image retri system using both content and metadata Platform: |
Size: 39936 |
Author:kilo |
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Search - color and texture based image retrieval