搜索资源列表
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pca进行特征提取源码，用matlab语言编写，pca即主成分分析-pca source for feature extraction using Matlab language, pca that Principal Component Analysis
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Image-feature-extraction-an overview
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It is very useful for feature extraction in image processing.,It is very useful for feature extraction in image processing.
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以MIT—BIH数据库的数据作为对象，对心电数据进行QRS波群的提取-To MIT-BIH database data as objects, on the QRS wave of ECG data, the extraction group
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这个程序将图像变为二值化图像，然后对图像进行形状的特征提取，算法很全，包含多种图像形状提取方式。-image of this procedure into two binary images, and then to shape the image feature extraction algorithm is very full, Shape mixture of images extraction methods. -This process the image into a binary
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提取指纹特征点的matlab代码，很有用，利用自适应阈值进行分割，再进行频域增强，根据八邻域纹线编码进行特征提取。-Extracted fingerprint feature points of the matlab code, useful, adaptive threshold segmentation, and then increased in frequency domain, the eight neighborhood ridge coding for feature extrac
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列出NT的所有服务-the edges of image feature extraction and contour tracking, and high is your fault
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子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the
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matlab信号特征提取程序集合，包括信号的多种经典特征-Signal feature extraction matlab collection procedures, including the classic characteristics of a variety of signals
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通过人脸图像归一化，人脸检测，特征提取等处理后，实现人脸识别功能-Through the Human face image normalization, face detection, feature extraction, such as treatment, the realization of face recognition feature
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小波对信号进行多分辨率分析，提取信号特征-Wavelet multi-resolution signal analysis, signal feature extraction
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为了提取区域边界，可以对图像直接运用一阶微商算子或二阶微商算子，然后根据各像点处的微商幅值或其他附加条件判定其是否为边界点。如果图像中含有较强噪声，直接进行微商运算将会出现许多虚假边界点。-.Using the feature of distinct edge contour existing between the text and the background regions in color images, a novel text extraction algorithm—CEMA(Co
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surf feature extraction algorithm code written in Visual Studio 8.0
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finger print feature extraction matlab code
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BMyCrust take as input a 3D scatter points cloud and return a tight, manifold, triangulation.
Remember that crust algorithm needs a cloud representing a volume, so open surface may give inaccurate results. For example : a plane can not be triang
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ECG feature extraction and clasiffication for biometric
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编程是由pca和lda结合的脸部特征提取，用于三维图像。-multilinear principal component analysis combined with Linear discriminant analysis 3D face feature extraction.
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汉语语音特征参数提取程序提取特征擦数 汉语语音特征参数提取程序提取特征擦数-Chinese Speech feature extraction procedure
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feature extraction for matlab
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Feature extraction papers related to MFCC use in speech recognition
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