Description: 本MATLAB程序 用MATLAB 来实现3D 图像的匹配 用高斯卷积 来寻找 关键点 ,再利用关键点处的特征向量 通过3D向量的匹配 来实现3D 图像的配准-The MATLAB program using MATLAB to realize the matching of 3D images using Gaussian convolution to find the key points, re-use the key points of the feature vector through the 3D vector matching to realize 3D image registration Platform: |
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Author: |
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Description: DoG(Difference of Gaussian)滤波算子，主要用于边缘特征提取，用于模式识别中的分割预处理。其主要参数为两个高斯函数的方差，针对方差设计可以对不同的图像特征情况下有不同的表现。-DoG (Difference of Gaussian) filtering operator, the edge feature extraction is mainly used for pattern recognition of the partition pretreatment. The main parameters for the two Gaussian function of variance, the variance for design characteristics of the different images have different circumstances performance. Platform: |
Size: 2048 |
Author:wang |
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Description: GMMBayes Toolbox
Feature Representation and Discrimination Based on Gaussian Mixture Model Platform: |
Size: 429056 |
Author:fgqqd |
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Description: 运用Perona-Malik各向异性扩散模型对3d图像进行平滑去噪。此方法可以有效的抑制高斯噪声，并保护图像的边缘特征。-The use of Perona-Malik anisotropic diffusion model for smooth 3d image denoising. This method can effectively suppress Gaussian noise and to protect the image of the edge feature. Platform: |
Size: 3072 |
Author:wzq |
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Description: 先对图片进行灰度处理，然后进行高斯滤波，最后得到边缘特征点。-First deal with gray-scale pictures, and then carry out Gaussian filter, and finally get the edge feature point. Platform: |
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Description: 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines-
This section should give the reader a quick overview of the methods implemented in
STPRtool.
• Analysis of linear discriminant function: Perceptron algorithm and multiclass
modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection
of known algorithms solving the Generalized Anderson’s Task.
• Feature extraction: Linear Discriminant Analysis. Principal Component Analysis
(PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis.
• Probability distribution estimation and clustering: Gaussian Mixture
Models. Expectation-Maximization algorithm. Minimax probability estimation.
K-means clustering.
• Support Vector and other Kernel Machines: Sequential Minimal Optimizer
(SMO). Matlab Optimization toolbox based algorithms. Interface to the
SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers.
Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell-
Demyanov-Molozenov algorithm Platform: |
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Author:查日东 |
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Description: ：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出
应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音
乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高
斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪
方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way. Platform: |
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Author:金振东 |
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Description: ICA用于图像特征提取 通过定义一个衡量分量独立性和非高斯性的目标函数来实现的-ICA for image feature extraction components by defining a measure of independence and non-Gaussian nature of the objective function to be achieved Platform: |
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Author:小权 |
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Description: 一种图像检索中纹理特征提取的方法。本文介绍了基于Gabor 滤波器和Gabor 小波变换提取纹理特征的分析方法, 以及对Gabor 小波进行了高斯归一化以提高对图像检索的速度和准确度。-An image retrieval texture feature extraction methods. This article based on Gabor filters and Gabor wavelet transform to extract texture feature analysis method, as well as Gabor Wavelet Gaussian normalized to enhance the image retrieval speed and accuracy. Platform: |
Size: 51200 |
Author:爱学习 |
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Description: 产生一个高斯分布的模式类的样本，特征向量为二维的。-Generate a Gaussian distribution model of the class samples for the two-dimensional feature vectors. Platform: |
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Author:shihao |
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Description: DOG高斯差分实现物体识别中的特征提取,对不同尺度空间的图像进行差分，从而获得描述物体的特征值-difference of gaussian to achieve the feature point exaction of object recognition Platform: |
Size: 2048 |
Author:lily |
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Description: 边缘特征的提取就是求图像梯度的局部最大值和方向。实际计算中，以微分算子的形式表示，并采用快速卷积函数来实现。常用的算子有微分算子，拉普拉斯算子，Canny算子等。其中Canny边缘检测是一种较新的边缘检测算子，具有较好的边缘检测性能，得到越来越广泛的应用。Canny边缘检测法利用高斯函数的一阶微分，它能在噪声抑制和边缘检测之间取得较好的平衡-Edge feature extraction is to seek the local maximum of image gradient and orientation. The actual calculation to the form of differential operator representation, and using fast convolution function to achieve. Commonly used operators are differential operators, Laplace operator, Canny operator and so on. Canny edge detection which is a relatively new edge detection operator, and has good edge detection performance, get more and more widely used. Canny edge detection method using first derivative of Gaussian function, it can in the noise suppression and edge detection to achieve a better balance between Platform: |
Size: 1024 |
Author:xiaowei |
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Description: Canny边缘检测的高斯卷积，索贝尔operation.entire代码组成，是在建MATLAB函数任何自由，除了必须改变形象reading.threshold根据图像和被提取的特征。
做检查更新的高斯卷积文件，它比前一个准确
请注意，代码的执行时间是low.This是因为没有内在的功能被使用。
为了提高车速了，请改为内置的功能“conv2“的卷积码
-canny edge detection comprising of gaussian convolution,sobel operation.entire code is free of any in built matlab function except for image reading.threshold must be changed depending on the image and the feature to be extracted.
Do check out the updated gaussian convolution file , its more accurate than the previous one
Please note that the code execution time is low.This is because no inbuilt functions are used.
In order to improve up on speed please substitute the convolution code with the inbuilt function "conv2"
Platform: |
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Author:namind |
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Description: 本MATLAB程序 用MATLAB 来实现图像的匹配 用高斯卷积 来寻找 关键点 ,再利用关键点处的特征向量 通过向量的匹配 来实现图像的配准-The MATLAB program using MATLAB to achieve matching image convolution with a Gaussian to find the key, then use the key points of the feature vector by vector matching to achieve image registration Platform: |
Size: 450560 |
Author:wddben |
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Description: Implementing comp_gauss_dens_val(m, S, x) function in MATLAB to compute Gaussian probability density value.
x : feature vector
m : class mean vector
S : class covariance matrix Platform: |
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Author:crn |
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Description: 实现鲁棒的SIFT特征匹配，包括画中画匹配，matlab调用了C中的一些函数如高斯滤波等-Achieve robust SIFT feature matching, including picture-matching, matlab call C functions such as some of the Gaussian filter, etc. Platform: |
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Author:caixiuxia |
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Description: 径向基函数插值使用一系列基函数，它们在每个采样点对称且居中。径向基函数是一类特殊的函数，其主要特征是它们的响应与中心点的距离单调地减小（或增加）。中心、距离刻度和精确的形状是模型的参数。(Radial Basis Function interpolation with biharmonic, multiquadric, inverse multiquadric, thin plate spline, and Gaussian basis functions for Matlab/Octave.
RBF interpolation uses a series of basis functions that are symmetric and centered at each sampling point. Radial basis functions are a special class of functions with their main feature being that their response decreases (or increases) monotonically with distance from a central point. The center, the distance scale, and the precise shape are parameters of the model.) Platform: |
Size: 33792 |
Author:baidudu |
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