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文章中介绍了几种常用的图像特征提取方法，各种方法的原理解释的非常详细-The article introduces several kinds of commonly used image feature extraction method, the principle of various methods to explain very detailed
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利用gabor小波原理进行纹理特征提取的matlab代码，包括程序、图片、demo-gabor texture feature extraction codes
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资料包含了MATLAB图像特征提取的实例源代码和原图片-Information includes the image feature extraction MATLAB source code and examples of the original picture
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sift特征提取，提取 N*128维特征，已经进过测试，能够完整运行-SIFT feature extraction, feature extraction, N*128, has been tested and can complete the operation.
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尺度不变的特征提取算法，sift，MATLAB版本。-Scale invariant feature extraction algorithm, sift, MATLAB version.
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MATLAB code for signal feature extraction
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Feature Extraction In Computer Vision And Image Processing by Mark S Nixon-Feature Extraction In Computer Vision And Image Processing by Mark S Nixon
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特征提取工具包，包含color、gist、hog、sift、lbp、ssim等特征，比较好用-Feature extraction toolbox containing color, gist, hog, sift, lbp, ssim features, relatively easy to use
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基于Opencv的图像特征提取源码整理。-feature extraction
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feature extraction examples
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尺度不变特征提取
im read( lena.bmp )
im double(im)
[ pos, scale, orient, desc ] SIFT( im)
-Scale Invariant Feature Extraction
im imread( lena.bmp )
im double(im)
[ pos, scale, orient, desc ] SIFT( im)
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常见的颜色特征提取代码。内附一张图片和颜色直方图和颜色时间代码。-Common color feature extraction code. Enclosing a color histogram and color pictures and timecode.
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图像处理中，尺度不不变特征提取，一种很有效的特征提取方法-cale invariant feature extraction
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使用颜色矩提取图像中的特征提取，即颜色矩特征提取。使用颜色矩提取颜色特征。-The use color moment to extract the image feature extraction, namely the color moment feature extraction
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常用工具包，特征提取方法，如HOG，sift等特征，分类方法如决策树，svm等(Commonly used toolkits, feature extraction methods, such as HOG, sift and other features, classification methods, such as decision trees, SVM, etc.)
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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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feature extraction code for breast cancer detection
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Gabor小波进行特征提取，实现人脸识别(Gabor Wavelet Feature Extraction to Achieve Face Recognition)
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用于运动人体的图像特征提取，提取的特征包括，高宽比，速度，紧密度，灰度共生矩阵，hu矩，主成分分析，离散余弦变化，图像的预处理等。(Image feature extraction for moving human body includes features such as aspect ratio, speed, tightness, gray level co-occurrence matrix, Hu moments, principal component analysis, disc
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