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关于如何实现Gabor小波变换的文章,对于想亲自动手实现Gabor小波变换的朋友非常有用.-on how to achieve Gabor wavelet transform article, want to personally get involved to achieve Gabor wavelet transform friends very useful.
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基于弹性模板匹配的人脸表情识别程序。首先针对静态表情图像进行表情图像的灰度、尺寸归一化,然后利用Gabor小波变换提取人脸表情特征以构造表情弹性图,最后提出基于弹性模板匹配及K-近邻的分类算法实现人脸表情的识别。-based on elastic template matching Facial Expression identification procedures. First of all expressions against static image looked gray image
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In this article, the feature extract algorithm of Gabor wavelet transform improve the precision
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小波变换,主要功能是实现图像纹理的提取。-Wavelet transform, the main function is to achieve the extraction of image texture.
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通过高斯函数导数检测图像边缘,实质是方向可调小波变换检测图像边缘(8个方向变换)。-Gaussian function through derivative edge detection in real terms is adjustable direction edge detection wavelet transform (change the direction of 8).
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人脸表情识别的Gabor小波变换,最终得到5个尺度,8个方向的不同特征,此程序参考文件Gabor feature classification using enhanced FLD model facial recognition-Facial Expression Recognition of Gabor wavelet transform, finally be five scale, eight directions of different characteristics, this p
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详细给出了Gabor小波变换的程序,可以得到良好的结果-Gabor wavelet transform is given in detail the procedure, you can get good results
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提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先,从每幅人脸图像中手工定
位34个基准点,作为面部表情图像的几何特征,同时采用Gabor小波变换方法对每幅表情图像进行变换,并提取基
准点处的Gabor小波系数值作为表情图像的Gabor特征;其次,利用典型相关分析技术对几何特征和Gabor特征进
行特征融合,作为表情识别的输人特征;然后,利用模糊核判别分析方法进一步提取表情的鉴别特征;最后,采用最
近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和
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Gabor wavelet transform applied to feature extraction of ophthalmic images.
We investigate a new approach for measuring ocular
refractive errors (astigmatism, near-sightedness and shortsightedness)
from images of the human eye [1]. This
ap
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实现对图像的gabor小波变换,利用了opencv的函数库,可实现方向和尺度等多项选择。-Achieve image gabor wavelet transform, using the opencv function library, enabling the direction and scale and many other options.
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利用Gabor小波变换解决人脸识别中的小样本问题.caj-Face Recognition using Gabor wavelet transform to solve the small sample size problem. Caj
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基于小波变换的字符识别快速算法.caj基于小波变换的字符识别快速算法.caj-Character recognition based on wavelet transform fast algorithm. Caj
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介绍了常见的时频分析方法,包括短时傅里叶变换,Wigner-Ville分布以及小波变换等,结合MATLAB,引导读者如何运用其来进行时频分析-Describes the common time-frequency analysis methods, including short time Fourier transform, Wigner-Ville distribution and wavelet transform, combined with MATLAB, to guide the r
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在数字图像处理算法研究中基于图像小波变换的C++源码-Digital image processing Image Wavelet Transform based C++ source code
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gabor小波变换提取图像纹理信息,得到一维向量。-gabor wavelet transform to extract image texture information
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gabor是小波变换的一种,可以进行去噪,纹理提取等多种图像处理-gabor wavelet transform of a variety of image processing denoising, texture extraction
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Gabor滤波。Gabor小波变换。图像特征提取算法。-Gabor filtering. Gabor wavelet transform
Image feature extraction algorithm.
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二维Gabor小波变换是在时频域进行信号分析处理的重要工具,其变换系数有着良好的视觉特性和生物学背景,因此被广泛应用于图像处理、模式识别等领域-An important tool for two-dimensional Gabor wavelet transform is a time-frequency domain signal analysis and processing, the conversion coefficient has a good visual properties a
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gabor小波变化的实现,用于数字图像处理中Gabor特征的完全提取。自己项目中已经用到了。-Achieve gabor wavelet transform for digital image processing totally Gabor feature extraction. Himself has used the project.
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基于Gabor小波变换和人工神经网络的人脸识别方法(Face recognition method based on Gabor wavelet transform and artificial neural network)
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