搜索资源列表
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5下载：
在matlab下的k-均值聚类进行图像分类分割处理,In matlab under the k-means clustering for image classification be dealt with separately
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C均值模糊聚类，适用于图像分类，此为MATLAB 程序代码。-C mean fuzzy clustering for image classification, this is MATLAB code.
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基于BP神经网络的遥感图像分类代码。从样本中提取崇明岛东滩十种地物的光谱特征，并训练BP网络，再利用网络进行分类-BP neural network-based remote sensing image classification code. Extracted from samples of 10 kinds of Chongming Island, Dongtan features of the spectral characteristics and to train BP networ
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用于提取图像一些的基本特征，方便进行图像分类-Used to extract some basic characteristics of images to facilitate image classification
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基于神经网络的图像分类方法，代码执行效率高，国外网站上下的，是一个完整的工程-Based on neural network image classification methods, code implementation of high efficiency, foreign Web site from top to bottom, is a complete project
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遗传算法(GA)和神经网络(network)结合的算法，用于图像分类，包含完整的工程-Genetic Algorithm (GA) and neural network (network) combining algorithm, for image classification, including the complete works
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基于opencv的otsu阈值分割,根据最大类间方差原理,进行全局图像分类-Opencv based on the Otsu threshold segmentation, in accordance with the principle of maximum between-cluster variance for the overall image classification
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很好用的svm工具箱，dagsvm对于图像分类效果非常好，分类精度很高，代码清洗简单。-Good use of SVM Toolbox, dagsvm for image classification effect is very good, very high classification accuracy, code cleaning easy.
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基于贝叶斯最小错误率算法的崇明岛遥感图像分类程序。并且有饼状图显示各类地物比例-Minimum error rate based on Bayesian algorithm for Chongming Island, the remote sensing image classification procedures. And the pie chart below shows the proportion of various types of features
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模糊c均值聚类算法对遥感图像分类，可自己进行修改-Fuzzy c means clustering algorithm for remote sensing image classification can be modify their
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该matlab源码描述了基于局部受限线性编码的图像分类算法-This is an example code for the algorithm described in
"Locality-constrained Linear Coding for Image Classification", CVPR 2010.
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神经网络源码，可应用于遥感图像的分类，采用的包括bp、kohonen。可以作为范例来学习。-Neural network source code can be used in remote sensing image classification, using the included bp, kohonen. Can serve as examples to learn.
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K-means算法是一种动态聚类方法，这种方法先选择若干样本作为聚类的中心，在按某种聚类准则（通常采用最小距离原则）使各种样本向各个中心积聚，从而得到初始的分类，然后，判断分类的合理性，如果不合理，就修改分类，如此反复的修改聚类的迭代运算，直到合理为止。-K-means algorithm is a dynamic clustering method, this method, select the number of samples as a cluster center in the clu
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一篇图像分类文章Image classification based on feature selection and SVMs-Image classification based on feature selection and SVMs
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基于SVM的图像分类，由于支持向量机的分类能力极大地依赖于核参数的选取，因此，本文着重研究了核参数选择方法，并利用不同的颜色、纹理特征对图像进行分类。
-SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel paramet
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图像的监督分类，并给出了数字识别等具体实例-Supervision of the image classification, and gives specific examples such as digital identification
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本文实现了09年CVPR的文章Linear Spatial Pyramid Matching using Sparse Coding for Image Classification-This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper
"Linear Spatial Pyramid Matching using Sparse Coding for
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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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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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实现两类图片分类，针对的是X光图片进行分类。(image classification)
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