搜索资源列表
openCV图像处理，内含边缘检测
- openCV图像处理，内含边缘检测、边缘分割、区域增长、高斯噪声、椒盐噪声消除以及自适应中值滤波函数的实现-openCV image processing, includes edge detection, edge segmentation, region growing, Gaussian noise, salt and pepper noise cancellation and adaptive median filter function implementation
ImageProcessing
- 自己用GDI+写的自适应中值滤波器 附有exe和图片-Their use GDI+ Write adaptive median filter with exe and pictures
Image-Processing-Lab[1]
- C#实现图像中值滤波、自适应平滑、保守光滑处理的源码，供大家参考-C# realize image median filtering, adaptive smoothing, Conservative smoothing the source for your information
zhongzhilvbo
- 改进的自适应中值滤波器，效果较好，运行速度，较快。-Improved Adaptive median filter, the effect better speed, fast.
adaptive_multistage_median
- Adaptive Mutistage Median
AdaptiveMedianFilter
- Adaptive Median filter with different three sorting algorithms and drawing a graph to compare between the 3 algos
Adaptive-median-filter
- 基于vc++的自适应中值滤波器的代码，能用于对相位图的滤波。-The adaptive median filter code can be used for the filtering of the phase diagram.
SpatialDomainFilters
- This file contain a huge number of different adaptive filters with their descr iptions like adaptive median filters, applications to the images and different frequency used filters.
haar
- wavelete filtering and can do it with median and adaptive filter
acwmf
- 自适应中心加权中值滤波的实现方法，matlab文件(adaptive center median filter)
qizhong_lvbo
- 对信号Mix_Signal_1 和 Mix_Signal_2 分别作巴特沃斯低通滤波，FIR低通滤波，移动平均滤波，中值滤波，维纳滤波，自适应滤波以及小波滤波。(The signal Mix_Signal_1 and Mix_Signal_2 are used for Butterworth low pass filtering, FIR low pass filtering, moving average filtering, median filtering, Wiener filteri
matlab 代码
- 半软阈值函数定义 自适应中值滤波函数的定义，适用于椒盐噪声 psnr定义(Adaptive median filter function definition)
adpmedian
- 自适应中值滤波，在中值滤波算法的基础上对中值参数的选取可以根据具体条件自我修订，滤波效果更佳理想(Adaptive median filtering. On the basis of median filtering algorithm, the selection of median parameters can be self-modified according to specific conditions, and the filtering effect is better and i
2.多种滤波方法_心电信号
- 心电信号多种滤波方式比较;中值滤波、自适应滤波等等(Comparison of various filtering methods of ECG signal, such as median filtering, adaptive filtering and so on)