搜索资源列表
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.
NLMean
- 非局部均值（Non-local Mean）SAR滤波，matlab程序-Non-local mean (None-local Mean) SAR filtering, matlab program
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
testnonlocalmean
- 这是一个非局部均值算法实现工具和相关实验数据，主要用来实现图像增强和降噪应用-This is a non-local means algorithm to achieve the tools and related experimental data, mainly used for image enhancement and noise reduction application
entati
- 非局部加权模糊C均值聚类图像分割Non-locally weighted fuzzy C-means image segmentation-Non-locally weighted fuzzy C-means image segmentation
NL_Back_projection
- 一篇有关非局部均值滤波在超分辨重建中的应用的论文，英文的，IEEE上的-a paper about NL-based SR
A_Non-Local
- 数字图像处理用非局部均值方法，其中仔细介绍了非局部均值的原理，用法-A Non Local Algorithm for Image Denoising
KMeans
- K-均值聚类算法，属于无监督机器学习算法，发现给定数据集的k个簇的算法。 首先，随机确定k个初始点作为质心，然后将数据集中的每个点分配到一个簇中，为每个点找距其最近的质心， 将其分配给该质心对应的簇，更新每一个簇的质心，直到质心不在变化。 K-均值聚类算法一个优点是k是用户自定义的参数，用户并不知道是否好，与此同时，K-均值算法收敛但是聚类效果差， 由于算法收敛到了局部最小值，而非全局最小值。 K-均值聚类算法的一个变形是二分K-均值聚类算法，该算法首先将所有点作为一个簇，然
My-NLMeans
- 采用非局部均值滤波（NLM filter）对图像进行去噪，能取得很好的效果。-Using non-local means filter (NLM filter) for image de-noising, can achieve good results.
NLM
- 关于非局部均值去噪的典型例子，里面有详细注解，很实用-Typical examples of non-local means on de-noising, which has detailed notes, it is practical
matlab-nlm
- there a non-local means denoising article, along with the code. After debugging, the code is correct.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.
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
快速非局部均值
- 快速非局部均值降噪算法。比较传统的速度更快，是基于论文《a non-local algorithm for image denoising》实现的(Fast non local means denoising algorithm.)