搜索资源列表
localnormalize
- LOCALNORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image. ln=localnormalize(IM,sigma1,sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaus
Gauss3D
- 3D的Gauss Kernel。可以应用于三维的数据处理-3D Gaussian Kernel. Can be applied to three-dimensional data processing
gkde
- Gaussian Kernel Density Estimation with Bounded Support
gaussian.rar
- 高斯滤波核函数生成,可以根据K和要生成对应的高斯核,Gaussian filter kernel generation, according to K and to generate the corresponding Gaussian kernel
dectect
- 基于高斯核密度模型的运动目标检测，适合图像处理专业人员参考-Based on the Gaussian kernel density model of moving target detection for image processing professionals reference
gaussian-core
- 本人初学图像处理。这是一个简单的高斯核设计源代码。-I am novice image processing. This is a simple design of the Gaussian kernel source code.
BilaFlt
- 对图像进行双边滤波的函数。有两个高斯核，一个是对像素点见的距离，一个是对像素点见的灰度差。-Right image bilateral filtering function. There are two Gaussian kernel, one is the pixel to see distance, one is to see the gray scale pixel difference.
Inter
- 灰度图像插值 运用改进高斯作为插值核函数-Gray-scale image interpolation using the modified Gaussian kernel function as the interpolation
KFCMClust
- 核模糊C均值算法，利用高斯核实现映射，以改进FCM算法，实现分割。-Kernel fuzzy c-means algorithm, using gaussian kernel realize mapping, to improve FCM algorithm, realize division.
ch2_ex2_4
- 对一幅图像进行平滑处理，使用opencv，通过对图像数据与高斯或者其他核函数进行卷积-Smoothing of an image using opencv, through images or other data with Gaussian kernel convolution
Blur
- GAUSSIANBLUR blur the image with a gaussian kernel GI = gaussianBlur(I,s) I is the image, s is the standard deviation of the gaussian kernel, and GI is the gaussian blurred image.
Noise-filtering
- Source code for noise median filtering, 2d Gaussian filtering and a Gaussian kernel having a standard deviation and variable size
Linear_and_Nonlinear_Diffusions
- Jd=diffusion(J,method,N,K) J :待扩散的原图像 method : lin : 线性扩散 (常数 c=1). pm1 : perona-malik, c=exp{-(|grad(J)|/K)^2} pm2 : perona-malik, c=1/{1+(|grad(J)|/K)^2} rmp : 复数 K :边缘门限参数 N :迭代次数 dt:时间步长 (0 < dt <= 0.25, 缺省值为0.2)
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
Canny
- 利用Canny的方法实现边沿检测，核函数采用高斯核，sigma大小可以任意调节，阈值也可以任意选。界面优美。-Does the method of using Canny edge detection, the function USES the gaussian kernel, sigma size can be adjusted, and the threshold can be arbitrarily chosen. Beautiful interface.
gaussian_entropy
- 本算法利用高斯核函数对灰度图像进行增强，然后根据香农熵求出一个最佳阈值，利用该阈值进行分割。-This algorithm uses the Gaussian kernel enhanced gray image, and then an optimal threshold is obtained according to the Shannon entropy, the threshold segmentation.
Gabor
- 本算法可以在不同方向和不同尺度上对图像进行分析，利用高斯核函数对图像进行卷积，然后综合各个方向和尺度的数据的最大值，就可以得到理想的结果。该方法对冠脉造影图像中血管的分割效果比较好，无论主血管或是细小血管都比较好。-This algorithm can be analyzed in different directions and on different scales the image using the Gaussian kernel function of the image convo
NL
- Non-local means filter，，用的高斯核。算是改进吧-Non-local means filter,, the Gaussian kernel. For the with the Be regarded as to improve the bar
hermite
- 任意高斯核的产生，图像图像处理，图像配准-The arbitrary Gaussian kernel generated
Gaussian-Blur
- This project for OpenCV C++. This is the most commonly used smoothing method. This is also used to eliminate noises in an image. Gaussian kernel is slided across the image to produce the smoothed image. Size of the kernel and the standar