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: 一个用于MRI和CT图像检索的程序，使用了SVM分类算法和AdaptBoost自适应增强算法。-for an MRI and CT image retrieval procedures, the use of SVM classification algorithm and AdaptBoost adaptive enhancement algorithms. Platform: |
Size: 15692258 |
Author:chenxin |
Hits:
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 |
Hits:
Description: 一个用于MRI和CT图像检索的程序，使用了SVM分类算法和AdaptBoost自适应增强算法。-for an MRI and CT image retrieval procedures, the use of SVM classification algorithm and AdaptBoost adaptive enhancement algorithms. Platform: |
Size: 15691776 |
Author:chenxin |
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Description: 该课件主要陈述了基于内容的图象检索技术的由来，主要的处理技术和未来的发展方向。另外该课件为英文课件，有兴趣的可以下来看下！-The main statement of the courseware content-based image retrieval technology, the origin, the main treatment technologies and the future direction of development. In addition to the courseware courseware in English, interested can facie down! Platform: |
Size: 1184768 |
Author:aurora |
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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: 基于内容的图像检索程序，matlab代码，SVM分类实现，检索效果好，对于研究基于内容检索的学习者用处很大-Content-based image retrieval procedures, matlab code, SVM classification to achieve good retrieval effect, for content-based retrieval research has proved very useful to learn Platform: |
Size: 15228928 |
Author:于枫 |
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Description: This a simple demonstration of a content based image retri using 2 techniques.
1. Using knn for image retri
2. Using svm for image retri .-This a simple demonstration of a content based image retri using 2 techniques.
1. Using knn for image retri
2. Using svm for image retri . Platform: |
Size: 5359616 |
Author:walaaelhady |
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Description: 本代码为图像检索时，要用到的代码， 采用SVM进行图像分类，有很大的作用。(The code for image retrieval, the code used, the use of SVM for image classification, has a great effect.) Platform: |
Size: 60247040 |
Author:Kovin
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Search - image retrieval svm