Description: Gradient calculation using first order derivative of Gaussian. by using a 2-D Gaussian kernel, derivatives along x and y directions are calculated
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Size: 1024 |
Author:eetuna |
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Description: Example of a two-dimensional Gabor filterIn image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection. Frequency and orientation representations of Gabor filter are similar to those of human visual system, and it has been found to be particularly appropriate for texture representation and discrimination. In the spatial domain, a 2D Gabor filter is a Gaussian kernel function modulated by a sinusoidal plane wave. The Gabor filters are self-similar – all filters can be generated from one mother wavelet by dilation and rotation
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Size: 7168 |
Author:Real1 |
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Description: Write a function as below which computes a directional first order derivative of 2D Gaussian function: h=dir2dgauss(M, sigma1, N, sigma2, theta).The kernel h is going to have a size of M x N and theta is the angle that the detector is rotated (counter clockwise). The sigma1 and sigma2 are the standard deviation of Gaussian functions. Platform: |
Size: 26624 |
Author:Chen Gaojun |
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Description: Source code for noise median filtering, 2d Gaussian filtering and a Gaussian kernel having a standard deviation and variable size Platform: |
Size: 38562816 |
Author:Bogdan |
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Description: 支持向量机，实现2或多分类，基于matlab仿真，内有说明-ex6.m- Octave script for the rst half of the exercise
ex6data1.mat- Example Dataset 1
ex6data2.mat- Example Dataset 2
ex6data3.mat- Example Dataset 3
svmTrain.m- SVM rraining function
svmPredict.m- SVM prediction function
plotData.m- Plot 2D data
visualizeBoundaryLinear.m- Plot linear boundary
visualizeBoundary.m- Plot non-linear boundary
linearKernel.m- Linear kernel for SVM
[?] gaussianKernel.m- Gaussian kernel for SVM
[?] dataset3Params.m- Parameters to use for Dataset 3
ex6 spam.m- Octave script for the second half of the exercise
spamTrain.mat- Spam training set
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spamTest.mat- Spam test set
emailSample1.txt- Sample email 1
emailSample2.txt- Sample email 2
spamSample1.txt- Sample spam 1
spamSample2.txt- Sample spam 2
vocab.txt- Vocabulary list
getVocabList.m- Load vocabulary list
porterStemmer.m- Stemming function
readFile.m- Reads a le into a character string
submit.m- Submission script that sends your solutions to our servers
submitWeb.m- Alternative s Platform: |
Size: 583680 |
Author:张伟强 |
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Description: 二维高斯核函数重构
重构方法不依赖于参数化模型-2D Gaussian Kernel Reconstruction
fast and accurate state-of-the-art
bivariate kernel density estimator
with diagonal bandwidth matrix.
The kernel is assumed to be Gaussian.
The two bandwidth parameters are
chosen optimally without ever
using/assuming a parametric model for the data or any rules of thumb .
Unlike many other procedures, this one
is immune to accuracy failures in the estimation of
multimodal densities with widely separated modes Platform: |
Size: 4096 |
Author:zty |
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Search - 2D gaussian kernel