搜索资源列表
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利用提出的纹理灰度值进行最小距离分类遥感图像-Using the proposed minimum distance of gray value texture classification of remote sensing image
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本程序是先用gabor小波变换对人脸图像处理,然后在用pca进行降维,最后用svm分类器进行多分类分类识别,包扩完整的orl人脸库,需注意的是,svm工具箱是用的libsvm工具箱,运行前先配置好libsvm。版本号:libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce
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matlab计算图像的统计几何特征,计算速度比较慢,但是用于纹理图像分类效果很好-matlab calculate the statistical geometric images, the calculation speed is slower, but works well for texture image classification
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image_binaryzation.m : 图像二值化主函数,调用otsu、kittler
otsu.m : 类判别分类法(otsu全局二值化算法)
kittler : 最小分类错误(minimum error thresholding)全局二值化算法
image_refining.m : 图像细化主程序,调用otsu、refining
refining.m : 计算骨架的一种实用方法对图像进行细化
coins.bmp
lenna.bmp
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An image-based classification application satisfying all the aims above has been implemented. It
allows for flexible evaluation of SVM classification of facial expressions for arbitrary user-defined
emotion categories and various SVM settings.
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为实现合成孔径雷达(SAR)图像分类算法的测试与评估,将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中,分析与
比较了4 种VC/Matlab 混合编程方法及各自优缺点,并着重研究了基于组件对象模型(COM)的VC/Matlab 混合编程方法。使用Matlab
COM 编译器创建了SAR 图像分类算法组件,在VC 中调用其导出的接口函数。在此基础上,完成了SAR 图像分类平台的实例开发且
可脱离Matlab 环境运行。实验结果表明,该方法较好地发挥了VC 与Matl
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关于图像的分类聚类算法,matlab实现,算法简单有效-Image classification clustering algorithm, Matlab implementation, the algorithm is simple and effective
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将matlab应用于基于纹理特征的遥感影像分类中的标准差分类-Matlab applied to the differential classification based on texture features of the remote sensing image classification standard
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用Matlab编写的神经元网络程序,可对图像进行分类。程序用到了4种神经元方法,BP效果最好。-Neural network using Matlab program, the image classification. The program used four kinds neurons BP effect.
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PCA(主成分分析)的MATLAB源代码,包含测试例子及使用文档,该算法主要用于图像分类时特征的降维。-PCA (Principal Component Analysis) of the MATLAB source code, including test case and use the document, the algorithm is mainly used for image classification and feature dimensionality reduction.
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基于matlab语言的非线性支持向量机算法,对图像分类有一定的参考价值-Matlab language feature extraction, image classification has certain reference value
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利用kmeans进行图像分类的matlab的实现-The realization of matlab kmeans image classification
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classification is Ok for the image segmentation.
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基于matlab R2010a的BP神经网络在遥感图像分类中的应用源代码-Application source code matlab R2010a BP neural network-based remote sensing image classification
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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 si
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MATLAB高效编程技巧与应用,25个案例分析。272页的电子书。包含重新认识向量化编程,MATLAB处理海量数据,积分案例,MATLAB优化及非线性方程求解案例,人脸图像压缩与重建,预测分类案例常微分方程组求解案例,层次分析法,定时器。-Efficient MATLAB programming skills and application of the 25 case studies. 272 e-books. Contains new understanding of vectorized
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Normalized Cuts,数据分类,matlab,C++,C语言混合编程程序,图像分割,光谱聚类-Normalized Cuts, data classification, matlab, C++, C mixed-language programming procedures, image segmentation, spectral clustering
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基于matlab的自组织神经网络进行遥感图像分类处理-Matlab based on the self-organizing neural network for remote sensing image classification processing
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基于半监督KPLS的概率聚类核,是用matlab编写的一个工具箱,可参考论文:Semisupervised nonlinear feature extraction for image classification和Semisupervised kernel orthonormalized partial least squares-Semisupervised KPLS with Probabilistic Cluster Kernel [SS-KPLS]
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该代码采用matlab和C混合编写,是采用随机梯度的方法训练线性分类器,它可用于数据、图像等的多类分类情况。参考论文:Good Practice in Large-Scale Learning for Image Classification-This a Stochastic Gradient Descent algorithm used to train linear multiclass classifiers. It is biased towards large classificat
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