搜索资源列表
Diffusion
- This toolbox has functions to perform nonlinear diffusion images. This kind of image filtering is particularly useful for reducing noise and to simplify images for further segmentation. Much of these functions are based
Linear-and-nonlinear-diffusion-processes
- Perona-Malik提出的各项异性扩散程序（Linear and nonlinear diffusion processes） -Perona-Malik made by the heterosexual spread of procedures (Linear and non linear diffusion processes)
CImg-1-19
- CImg库的最新版本，特别在plugin中添加了greycstoration算法（非常强悍的去噪，放大与inpainting算法），perona-Malik各向异性扩散，热扩散等算法，希望更多人研究变分与PDE的图像处理，特别是数学系的朋友-CImg for the latest version, In particular, adding the plugin greycstoration algorithm (very tough
anisodiff
- anisodiff.m Function to perform anisotropic diffusion of an image following Perona and Malik s algorithm. This process smoothes regions while preserving, and enhancing, the contrast at sharp intensity gradients
anisodiff2D
- 运用Perona-Malik各项异性扩散模型对二维图像进行去噪处理。该方法在有效的抑制噪声的同时能够保护图像的边缘。-The use of Perona-Malik Anisotropic Diffusion Model for the treatment of two-dimensional image denoising. The method in the effective suppression of noise at the
anisodiff3D
- 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
Diffusions
- Perona-Malik的线性和非线性融合多尺度提边算法代码-Perona-Malik of the linear and nonlinear fusion algorithm for multi-scale edge mention code
Cpp1
- 使用c++语言处理图像，可以对图像进行Perona-Malik的模仿。 Cpp1.cpp包含了所有代码 分为读取图像函数，高斯平滑，基于Perona-Malik模型的离散化处理，使图像得到平滑，一致噪声，里面还包括了保存处理过后的图像函数。-Use c++ Language processing images, can images mimic the Perona-Malik. Cpp1.cpp contains all th
PDE
- 数字图像处理大作业。用vc.net写的各向异性扩散滤波程序，算法是PERONA—MALIK提出的离散方法，提供各项同性扩散处理结果做对比。-Digital image processing large operation. Vc.net written using anisotropic diffusion filtering procedure, the algorithm is proposed PERONA-MALIK discr
mipadfoned
- Performs 1-D Perona Malik diffusion.
diffussion
- P. Perona&J. Malik算法的改进算法，以及包括了源图片-P. Perona & J. Malik algorithm algorithm, and includes the source image
Perona-Malik
- 本算法使用图像处理中的PM算法去除图像噪声-The algorithm uses image processing algorithms to remove image noise PM
perona-malik
- perona-malik算法,包括算法和测试-perona-malik
Perona-malik
- Perona和Malik在热传导方程的基础上，建立了各向异性扩散方程并将其应用到了图像处理中尺度空间的图像平滑上，该模型针对图像的边缘部分和非边缘部分进行不同性质的图像处理，同时解算方程的迭代格式简单，克服传统滤波的主要缺陷，是图像质量大为改善，为图像的边缘检测和增强开辟了新的方向。-Perona and Malik in the heat conduction equation based on an anisotropic diff
PM
- Perona和Malik在热传导方程的基础上，建立了各向异性扩散方程并将其应用到了图像处理中尺度空间的图像平滑上，该模型针对图像的边缘部分和非边缘部分进行不同性质的图像处理，同时解算方程的迭代格式简单，克服传统滤波的主要缺陷，是图像质量大为改善，为图像的边缘检测和增强开辟了新的方向。-This process smoothes regions while preserving, and enhancing, the contrast a
PM
- Perona和Malik在热传导方程的基础上，建立了各向异性扩散方程并将其应用到了图像处理中尺度空间的图像平滑上，该模型针对图像的边缘部分和非边缘部分进行不同性质的图像处理，同时解算方程的迭代格式简单，克服传统滤波的主要缺陷，是图像质量大为改善，为图像的边缘检测和增强开辟了新的方向。-This process smoothes regions while preserving, and enhancing, the contrast a
PM2
- 实现perona-malik算法的matlab源代码，东大数字图像处理课程小组作业。-Achieve perona-malik algorithm matlab source code, a large digital image processing course east group work.
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 (
Perona-Malik
- This code is about Perona Malik Equations
modified perona malik diffusion equation
- Modified Perona Malik diffusion equation, matlab implementation.