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3下载:
通过idl编程实现图像的isodata分类算法,结果表明isodata在图像分类中可以取得较好的结果。,Idl programming through ISODATA image classification algorithm, ISODATA results show that in image classification can be achieved better results.
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在Visual C++下实现聚类分析在图像识别中的应用。其中包括模糊聚类,遗传算法聚类分析,层次聚类和动态聚类等算法。可以运行,并有分类的源文件。是不错的研究素材。,In Visual C++ Achieve clustering analysis in image recognition applications. Including fuzzy clustering, genetic algorithm for cluster analysis, hierarchical clusterin
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用k-means 做彩色图像分割,分类数可选,Using k-means to do color image segmentation, classification number of optional
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此方法采用经典的PCA对人脸图像进行特征提取,用libsvm库函数的SVM分类器对图像分类。,This method uses the classical PCA on the face image feature extraction, with the libsvm library function of SVM classifier for image classification.
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对SVM多类分类算法进行了研究,总结了不同分类算法的优缺点。接下来本文提出了基于GA(遗传算法)和KNN(K近邻)的SVM多类分类算法-The SVM multi-class classification algorithms studied, summed up the advantages and disadvantages of different classification algorithms. The next paper, based on GA (genetic algorit
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纹理模式的LBP特征表示及分类原理:就是通过定义一个模板,对于原图像中的每个点,使用该模板进行操作,模板中心点近邻区域对应的图像象素值与中心位置对应的象素值进行比较,且对于不同位置的比较结果赋予不同的权值,从而,变换图像中对应点的值就由模板对应各位置的比较结果之权和表示。-LBP texture pattern feature representation and classification theory: that by defining a template for the origina
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图像分类中的交叉验证方法,比如说,一个训练集集合,为了得到其中参数的较准确值,就可以使用此类算法-Image Classification Based on cross-validation method, for example, a collection of training set, in order to obtain more accurate values of these parameters, you can use these algorithms
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对已有图像进行区域识别,画出决策树,并在测试图像上进行测试。-The image of the existing regional recognition, draw the decision tree, and the test images for testing.
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该程序通过遗传算法对图像进行聚类分析,并实现了图像的分类功能,分类效果明显较其他算法好-The genetic algorithm procedure for cluster analysis of the images and to achieve the classification of image features, the classification results significantly better than the other algorithms
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遥感影像分类的matlab实现(源码+图像)。以及分类后评价(总体精度、Kappa系数、混淆矩阵)。-Remote Sensing Image Classification of matlab implementation (source code+ images). After the evaluation and classification (overall accuracy, Kappa coefficient, confusion matrix).
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Classification MatLab Toolbox一个很好的图像处理界面,它能够使用很多算法进行模式识别分类-Classification MatLab Toolbox a good image processing interface, it can use many algorithms for pattern recognition classification
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遥感图像的打开处理程序,能够打开单波段,多波段图像,几何图像变换,线性拉伸变换,平滑
处理包括并行和串行,锐化处理包括梯度锐化、Roberts锐化、laplace锐化、sobel锐化等,还
有用绝对距离和马氏距离算法进行的监督分类算法等,包括了RAW格式数据资源-The opening of remote sensing image processing, to open the single-band, multi-band images, geometric image
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Matching Pursuit方法,经典的稀疏表示方法,可以用人脸识别和图像分类,图像去噪,现在非常流行。-Matching Pursuit method, sparse representation of the classic, you can use face recognition and image classification, image denoising, now very popular.
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基于稀疏编码和线性塔式匹配的图像分类算法。-This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification".
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基于svm的图像识别技术,效果不错。可用于图像的分类-Svm-based image recognition technology, good results. Can be used for image classification
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这篇文章主要是讲高光谱分类的,使用基于词典的稀疏算法对高光谱进行分类。-Dictionary-Based, Clustered Sparse Representation for
Hyperspectral Image Classification
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基于半监督分类的高光谱图像分类法,半监督基于监督分类和无监督分类。-A novel semi-supervisedhyperspectral image classification approach
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一个简单的图像分类例子,所用图片集共13类。-A simple example of image classification, used photos a total of 13.
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Linear Spatial Pyramid Matching using Sparse Coding for Image Classification
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高光谱图像分类,利用CNN,里面有全套的流程,包括数据处理,样本生成,测试,精度评价。(hyperspectral image classification based on CNN)
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