搜索资源列表
KernelTracking
- A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kern
Tracking
- 提出一种新的目标表示和定位方法,该方法是非刚体跟踪的核心技术.利用均质空间掩膜规范基于特征直方图的目标表示,该掩膜引入了适合于梯度优化的空间平滑相似函数,所以可以将目标定位问题转换为局部极大值求解问题.我们利用从Bhattacharyya系数倒出的规则作为相似度量,利用mean shift procedure完成优化求解.在给出的测试用例中, 本文方法成功解决了相机移动,阴影,以及其他的图象噪声干扰.文章对运动滤波和数据关联技术的集成也进行了讨论.-A new objective and pos
NLmeansfilter
- 进行对非局部均值算法的详细讨论包括权值的计算，均值的实现以及对于搜索窗口的讨论-Detailed discussion of the non-local means algorithm including the calculation of the weights, the realization of the mean and the discussion of the search window
Matlab_learning_materials
- 主要包括图像的中值、均值去噪、非局部均值、分块局部去噪算法；还有均方误差和峰值信噪比评价、以及matlab基础学习资料如边缘检测、小波变化、灰度值转换等-Including image median, mean denoising, non-local means, block local denoising algorithm also mean square error and peak signal to noise ratio evaluation, and matlab based
lmd
- 局部均值分解是由Smith提出的一种新的非线性和非平稳信号分析方法。由于LMD是依据信号本身的信息进行自适应分解的，产生的PF分量具有真实的物理意义，由此得到的时频分布能够清晰准确地反映出信号能量在空间各尺度上的分布规律。-Local mean decomposition is a new nonlinear and non-stationary signal analysis method proposed by the Smith. Since LMD information is base
diagnosis--based-on-LEM
- A novel fault feature extraction method based on the local mean decomposition technology and multi-scale entropy is proposed in this paper. When fault occurs in roller bearings, the vibration signals picked up would exactly display non-stationary
lmd2
- LMD（局域均值分解）程序。与经验模态分解的思想相近，是一种较新的处理非平稳信号的方法，但LMD方法的端点效应更小些。-LMD (local mean decomposition) program. And empirical mode decomposition similar idea, is a relatively new method for non-stationary signals, but the end effect is much smaller LMD method.
Nonlocal-Means
- 改进的非局部均值去噪，采用均值和方差选择相似的图像块。-Improved non-local means denoising, using the mean and variance of the to similar images.
eusipco2014code
- 目前非局部均值滤波算法研究比较火热，此程序提供了基础的非局部均值滤波matlab程序。-Currently Non-local means filtering algorithm is relatively hot, this program provides the basis for the non-local mean filter matlab program.
097-paste-with-non-function-macro
- expected-error {{no matching function foo found in local scope did you mean. -expected-error {{no matching function foo found in local scope did you mean.
11111111
- 非局部均值滤波 本程序是自己编写的费均值滤波程序-Non-local mean filter
NLmeansfilter
- 一种非局部均值滤波代码,可以对图片进行处理，去除噪声，是图片更加清晰明了。-A non-local mean filter code image can be processed to remove noise, the picture is more clear.
blindBAYNLM
- 图像降噪、贝叶斯估计、盲源降噪,采用盲源方法进行噪声估计，再进行贝叶斯非局部均值降噪-Image denoising, Bias estimation and blind source noise，The blind source method for noise estimation, then the Bayes non local mean noise reduction
cannyfinal
- 基于图像边缘结构的非局部均值图像去噪算法-Non local mean image denoising algorithm based on image edge structure
NLMDenoising
- 非局部均值（Non-Local Means）去噪算法，里面有实例- Non-local mean (Non-Local Means) denoising algorithm, which has examples
NLM
- NLM非局部均值的降噪C代码，已经优化过了，速度明显提高，学要的可以下载一下-NLM non-local mean noise reduction C code, has been optimized, the speed was significantly improved, the study can be downloaded
NLmeansfilter_Fast
- 基于非局部均值快速算法，使用matlab实现。论文《FAST IMAGE AND VIDEO DENOISING VIA NON-LOCAL MEANS OF SIMILAR NEIGHBORHOODS》(Fast algorithm of non local means)
Non-Local Means Filter
- 能够实现图像的预处理也就是去噪处理，比中值滤波、均值滤波效果都要好。(Can achieve the image preprocessing is denoising, than the median filter, mean filtering effect is better.)
Non_Local_Means
- 非局部均值图像去噪matlab程序，可以直接运行，不需要修改，去噪效果还可以(Matlab program for non-local mean image denoising)