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用于图像处理的独立分量分析，一个计算声子晶体结构的一维传递矩阵法,是学习PCA特征提取的很好的学习资料。- Independent component analysis for image processing, A one-dimensional transfer matrix method to calculate the phonon crystal structure, Is a good learning materials to learn PCA feature extractio
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用于信号特征提取、信号消噪，解耦，恢复原信号，图像的光流法计算的matlab程序。- For feature extraction, signal de-noising, Decoupling, restore the original signal, Image optical flow calculation matlab program.
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是学习PCA特征提取的很好的学习资料，旋转机械二维全息谱计算的实用例程，包括压缩比、运行时间和计算复原图像的峰值信噪比。- Is a good learning materials to learn PCA feature extraction, Rotating Machinery dimensional hologram of practical spectrum calculation routines, Including compression ratio, image restora
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BP神经网络用于函数拟合与模式识别，计算十字叉丝的在不同距离的衍射图像,用于信号特征提取、信号消噪。- BP neural network function fitting and pattern recognition, Calculation crosshairs diffraction image at different distances, For feature extraction, signal de-noising.
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是学习PCA特征提取的很好的学习资料，完整的图像处理课设，包含所有源代码，汽车图像，MIMO OFDM matlab仿真。- Is a good learning materials to learn PCA feature extraction, Complete class-based image processing, contains all of the source code, auto image, MIMO OFDM matlab simulation.
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包括数据分析、绘图等等,用于信号特征提取、信号消噪，用于图像处理的独立分量分析。- Data analysis, plotting, etc., For feature extraction, signal de-noising, Independent component analysis for image processing.
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用于图像识别和特征提取时的主成分分析程序,采用Matlab编写,-When used in image recognition and feature extraction of principal component analysis procedure, using Matlab,
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用于图像识别和特征提取时的主成分分析程序,采用Matlab编写,-When used in image recognition and feature extraction of principal component analysis procedure, using Matlab,
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sar图像去噪的几种新的方法，计算互信息非常有用的一组程序,是学习PCA特征提取的很好的学习资料。- Several new methods sar image denoising, Mutual information is useful to calculate a set of procedures, Is a good learning materials to learn PCA feature extraction.
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是学习PCA特征提取的很好的学习资料，可以得到很精确的幅值、频率、相位估计，一种基于多文档得图像合并技术。- Is a good learning materials to learn PCA feature extraction, You can get a very accurate amplitude, frequency, phase estimation, Based on multi-document image obtained combining technique.
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可以得到很精确的幅值、频率、相位估计，仿真图是速度、距离、幅度三维图像，是学习PCA特征提取的很好的学习资料。- You can get a very accurate amplitude, frequency, phase estimation, FIG simulation speed, distance, amplitude three-dimensional image, Is a good learning materials to learn PCA feature extracti
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2017年06月02日利用hough变换写了一个找圆的函数myFindCircles，找到图像的红色度值，本科毕业设计，验证后是可以用的，实现了苹果红色度特征提取。-2017 years on June 02 using hough transform to write a function to find round myFindCircles, to find the image of the red color value, undergraduate graduation design,
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这是一个利用matlab语言实现的尺度不变特征变换（SIFT）的程序，适合传统特征学习的初学者深入理解SIFT特征的精髓与具体实现过程。(It is a matlab code of SIFT feature for the students of image processing and feature extraction.)
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提取gist特征的MATLAB代码，用于图像分割，内含四个子程序(Matlab code of Gist feature extraction. It can be used to Image segmentation. Four sub codes are included.)
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代码流程包含：规格化，图像分割，图像平滑滤波，图像增强，图像二值化，图像细化，提取特征，指纹识别(The code includes image normalization, image segmentation, image smoothing and filtering, image enhancement, image binaryzation, image thinning, feature extraction, and fingerprint identification.)
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基于SVM算法和纹理特征提取的遥感图像分类(based on the SVM algorithm and texture feature extraction of remote sensing image classification)
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For feature extraction, signal de-noising, Realize image watermarking, de-noising, plus noise and other functions, Partial least squares method.
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本示例展示了怎样从一个预处理的卷积神经网络中提取特征，并用这些特征去训练一个图像分类器。(This example shows how to extract learned features from a pretrained convolutional neural network, and use those features to train an image classifier. Feature extraction is the easiest and fastest way use
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神经网络训练文字识别使用的java实现----------(neural network The texture feature extraction of image is a foundational work for image recognition and classification)
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利用gldm提取图像纹理特征源代码，八维，含能量、熵、惯性矩、相关的均值和标准差(Image texture feature extraction using GLDM source code, eight dimensional, including energy, entropy, moment of inertia, the mean and standard deviation)
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