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基于SVM与BoW的图片分类的OpenCV实现，从外国网站下载的-SVM-based image classification with BoW OpenCV implementation from foreign website
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二维图像的读取，辨认，分析，并且用神经网络进行，判定哪些图片可以归为一类-Two-dimensional image reading, identifying, analyzing, and using neural network to determine which pictures can be classified as a class
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这是我另一个同学的关于图像处理与机器学习的作业，对四组图像提取特征值，进行分类识别。LIBSVM.文件里包含代码，及一些参数调试。-This is another of my classmates on image processing and machine learning operations on four sets of image feature extraction values for classification. LIBSVM. File cont
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图像分类程序，此图像分类采用 SIFT + Kmeans 聚类的方法，然后调用 MLP 对其特征进行分类处理，速度实现比较快，正确率高-Image classification procedures, the use of this image classification method SIFT+ Kmeans clustering, and then call the MLP classification of its features, faster speed to achieve th
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image classifiers opencv c-image classifiers opencv c++
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基于神经网络方法的卫星图像云分类 BP神经网络和SOM神经网络-Satellite cloud image classification method based on neural network BP neural network and SOM neural network
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基于图像的sift特征对六类不同的图片进行分类：打电话、跑步、骑自行车等。-Based sift feature images of six different pictures classification: phone calls, running, cycling and so on.
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Recognition/classification of objects and patterns independent of their position, size, orientation and other variations in geometry and colors has been the goal of much recent research.
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图像聚类算法的vc++实现，对于图像聚类的初学者是不可多得的资料，先分享供大家学习、交流。-Image clustering algorithm vc++ realized, for beginners is a rare image clustering information, to share for everyone to learn, exchange.
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基于vc6.0的遥感图像处理，可以实现图像增强，植被指数计算，K均值分类等功能。-Vc6.0 based remote sensing image processing and image enhancement can be achieved, vegetation index calculation, K-means classification capabilities.
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基于MATLAB的树叶图像特征分类识别，图像分析处理 分割 特征提取 分类识别等-MATLAB-based leaf image feature classification, image analysis and processing, such as segmentation feature extraction classification
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基于分类树的分类，与神经网络相比算法简单，分类结果看数据大小和样本集而定。简单易行的图像处理，对于初学者非常实用。
-Classification tree based on comparison with the neural network algorithm is simple, look at the data classification and sample size may be set. Simple image processing, very useful for beg
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This a sample of a simple image classification using K-Nearest Neighbor and Backpropagation Neural Network. It uses block averaging in feature extraction process.-This is a sample of a simple image classification using K-Nearest Neighbor and Backprop
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this is for classification
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图像方面的顶级期刊IEEE Transcations on Image Processing2013年发表的一篇论文 Linear Time Distances Between Fuzzy Sets With Applications to Pattern Matching and Classification -A paper Linear Time Distances Between Fuzzy Sets With Applications to Pattern Matching and
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本代码用opencv实现了提取图像SIFT特征向量，并将结果保存到了txt文档中，对于之后实现图像分类、图像检索有很大帮助！-This code extraction with opencv image SIFT feature vectors, and save the results to a txt document, after the realization for image classification, image retrieval great help!
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该代码使用opencv显示一系列图像的直方图，对于利用颜色直方图进行图像分类、图像检索有很大的帮助！-The code uses opencv histogram display a series of images, the use of color histogram for image classification, image retrieval great help!
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“中国图像工程：2013”统计文献分类一览.好图像处理的综述论文- The image project China: 2013 statistical document classification list. A review of the image processing
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壁画图像分类中的分组多实例学习方法.好图像处理的论文-Packet mural image classification based on multiple instance learning method. Good image processing paper
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practical image classification
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