Search - 2D gaussian kernel

Search - 2D gaussian kernel - List

[matlab] gaussgradient DL : 0: Gradient calculation using first order derivative of Gaussian. by using a 2-D Gaussian kernel, derivatives along x and y directions are calculated
Update : 2025-02-19 Size : 1kb Publisher : eetuna
[Other] gabor_image_paper DL : 0: 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
Update : 2025-02-19 Size : 7kb Publisher : Real1
[matlab] diffusion.gaussian.kernel.pdf DL : 0: 1D , 2D, N-D gaussian kernel filter
Update : 2025-02-19 Size : 142kb Publisher : shah33n
[Special Effects] dir2dgauss DL : 0: 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.
Update : 2025-02-19 Size : 26kb Publisher : Chen Gaojun
[2D Graphic] GaussianKernel2D DL : 0: 一个产生2D高斯卷积矩阵的代码，比较简单，很容易明白。-generate the 2D gaussian convolution kernel
Update : 2025-02-19 Size : 308kb Publisher : Waifung
[OpenCV] Noise-filtering DL : 0: Source code for noise median filtering, 2d Gaussian filtering and a Gaussian kernel having a standard deviation and variable size
Update : 2025-02-19 Size : 36.78mb Publisher : Bogdan
[matlab] code DL : 0: 2D Gaussian filter with varying kernel size and variance
Update : 2025-02-19 Size : 1kb Publisher : rabe
[Other] mlclass-ex6 DL : 0: 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 1 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
Update : 2025-02-19 Size : 570kb Publisher : 张伟强
[DataMining] kde2d DL : 0: 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
Update : 2025-02-19 Size : 4kb Publisher : zty