搜索资源列表
NLmeansfilter.rar
- Non-local Means filter,Non-local Means filter
NLmeansfilter
- 这是新提出来的用于图像去噪的非局部均值滤波方法, matlab程序.非常好,你试试.-this is a new proposed image denoising method--non local means filtering, matlab file. you can try!
NLM
- 里面有一篇非局部均值去噪的文章，并附有代码。经调试，代码正确。-There are a non-local means denoising article, along with the code. After debugging, the code is correct.
NLMeans
- 非局部均值滤波的算法，还不错哦~自己觉得很好-Non-local mean filter algorithm, is also a good feel oh well
nonlocaldenoise
- 非局部去噪算法-nonlocal denoise 源码-Non-Local Denoising Algorithm-nonlocal denoise source
toolbox_nlmeans
- 实现非局部平均去噪算法（non local mean）-The realization of non-local denoising algorithm on average (non local mean)
numerical_analysis_homework
- (有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的
K-means
- 经典的K-means对非链接主题无关网页关键资源页面判定-Classical K-means to link the theme of non-critical resources not related to the page to determine page
testnlm
- non local mean filter-non local mean filter
Nonlocalmeans
- Original Non-local means filtering of an image, searching extent is the whole image
NMLfilter
- Non-local Means(NML)Filter-Non-local Means (NML) Filter
DenoiseMethods
- 图像去噪声程序 non-local means-image denoising prgram non-local means etc
NL
- 这个压缩文件 包含了非局部去噪的文章和这篇文章的去噪代码 -This compressed file contains non-local denoising of articles and code of this article denoising
Non-Local-Means
- 本人收集的Non-local Means方面的的论文，里面有WOR版的哦，希望对大家有用。-Image Denoising papers by the Non-local Means Algorithm，
PPT-for-Non-local-means-with-dimensionality-reduc
- PPT for an IEEE paper "non-local means with dimensionality reduction and sure-based parameter selection"
Nolocal-means-filter
- 非局部均值，图像去噪，matlab,有点慢-Non-local means image denoising, matlab, a bit slow
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.
NL-Means
- Non-local means算法由A. Buades, B. Coll, J.M Morel提出。该算法的主要参考文献为： A. Buades, B. Coll, J.M Morel, A review of image denoising algorithms, with a new one , Multiscale Modeling and Simulation (SIAM interdisciplinary journal), Vol 4 (2), pp: 49
Cluster_K-means
- k中心算法的基本过程是:首先为每个簇随意选择一个代表对象，剩余的对象根据其与每个代表对象的距离（此处距离不一定是欧氏距离，也可能是曼哈顿距离）分配给最近的代表对象所代表的簇；然后反复用非代表对象来代替代表对象，以优化聚类质量。聚类质量用一个代价函数来表示。当一个中心点被某个非中心点替代时，除了未被替换的中心点外，其余各点被重新分配。-The basic process k center algorithm is: First free to choose a delegate object fo
K-means
- 通过非监督分类中的K-均值聚类对Indian pines高光谱图像进行分类-Classification of hyperspectral images of pines Indian by K-means of non supervised classification