搜索资源列表
gaosimatch
- 高斯函数的匹配化，只需要输入两个线性因子，就可以匹配出所需要的直方图形状-Gaussian function of the match, only need to enter two linear factors, can match the shape of the histogram
functions-of-numerical-computation
- 数值计算中,贝叶斯函数,高斯函数,Romberg,Runge,euler的matlab实现,简便易使用.-matlab program of Bezier,Guess Romberg,Runge,euler method in Numerical computation
1483d06e871a
- matlab仿真可以实现一些高斯函数的matlab相应结果-matlab simulation
gaussapplication
- 一种介绍高斯函数的最基本的转换方法和应该遵循的原则。-A descr iption is the most basic conversion method of the Gaussian function, and should follow the principle.
shiyan
- 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。-Derivative to detect image edges by Gaussian function, in essence, the steerable wavelet transform to detect image edges.
C1
- 高斯文献，对高斯函数编程实现，对c++学者有着很大作用 -The Gauss literature, the Gaussian function programming, great c++ scholars
Gaussian-random-N
- 高斯函数随机数生成，程序实现正态函数随机数生成，具有不可重复性。-Gaussian function of the random number generator program to achieve normal function of the random number generator with the non-repeatability.
image-edge
- 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。-Derivative of Gaussian function to detect image edges, essentially Steerable wavelet transform to detect the image edge.
Fast-ICA
- 实现FastICA功能，非线性函数分别选取高斯函数，三次函数和正切函数。-Realize FastICA function, non-linear function were selected gaussian function, three function and tangent function.
LBF
- ：LBF 模型是一个著名的基于区域的活动轮廓模型。与PC（Piecewise Constant）模型不同，该模型引入了一个以高斯函数为 核函数的局部二值拟合（Local Binary Fitting，LBF）能量。因为LBF 能量能够获取图像的局部信息，所以LBF 模型解决了PC 模型 不能处理灰度不均一图像的分割问题。提出了一个改进的LBF 模型，它使用一个新的核函数代替高斯核函数-: LBF model is a well-known region-based active cont
gussianyuan
- 基于模糊粗糙集的图像阈值分割，隶属度函数选取高斯函数，效果好，计算快-Digital Image Segmentation Used Rough and Fuzzy Set
GMM
- 混合高斯模型算法，可以产生混合高斯分布，并通过自拟和确定高斯函数个数。-Gaussian mixture model algorithm, can produce a mixture of Gaussian distribution, and through self-fitting to determine the number of Gaussian function.
GaussKernel
- 计算高斯函数的模板，输入方差和维数即可获得模板参数，可用于图像的高斯模糊-Calculate the Gaussian function template, enter the variance and dimension can be obtained template parameter can be used to image the Gaussian blur
RBFNN
- RBF网络实现高斯函数的设计，很详细的过程 -RBF network Gaussian function design, very detailed process
ScaleSelection
- 利用高斯函数（filter，DOG） 做图像feature的识别。学期作业-blob detection DOG
gaussfit
- 高斯曲线拟合，数据处理过程中对采集的信号曲线进行高斯函数的拟合过程-gauss fitting
rmbaseline
- 对一维脉冲信号可去除基底，且做结构函数分析。如果是二维信号，可进行动态谱分析，进行二维高斯函数拟合-Can remove the base and do the structure function analysis of the one-dimensional pulse signal. If it is a two-dimensional signal dynamic spectral analysis, two-dimensional Gaussian function fitting
HarrisQSS
- harris角点提取算法，可以设置高斯差分窗口大小、非极大值抑制的邻域大小、高斯函数方差大小-harris corner extraction algorithm, you can set the window size of the Gaussian difference, non-maxima suppression of the size of the neighborhood, the size of the variance of the Gaussian function
gaussFit
- 高斯拟合，在matlab中，可以用来拟合。是使用高斯函数来实现对数据的拟合，具有很好的用处。-failed to translate
MLS2D-(1)
- 二维的移动最小二乘法，包含其中权函数，形函数程序以及高斯函数等-Two-dimensional moving least squares method, which includes the weight function, Gaussian shape function procedures and functions, etc.