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Description: LOCALNORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image.
ln=localnormalize(IM,sigma1,sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaussian kernel with sigma1 and sigma2 respectively.
Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China.
Inspired by the link:
http://bigwww.epfl.ch/demo/jlocalnormalization/
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Size: 1449 |
Author: xj |
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Description: K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K-均值聚类的的时间复杂度是n*k*m,其中n为样本数,k为类别数,m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类,寻找最优,列举一遍约66.7天,分成3类,则要约3500万年。针对算法局部最优的缺点,本人正在编制模拟退火程序进行改进。希望及早奉给大家,倾听高手教诲。-K-means clustering algorithm programming. Point by point, including clustering and clustering batch. K-means clustering of the time complexity of n* k* m, n samples, several types of k, m sample dimension. The time complexity is a very objective. Because if we use one billion times per second the computer using 50 samples of two exhaustive method to find the optimal set out again about 66.7 days, divided into three categories, offering 3,500 years. Local optimal algorithm against the shortcomings, I was prepared simulated annealing process improvements. Early Feng hope for everyone, listen to the master teachings.
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Size: 4096 |
Author: 韩磊 |
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Description: LOCALNORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image.
ln=localnormalize(IM,sigma1,sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaussian kernel with sigma1 and sigma2 respectively.
Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China.
Inspired by the link:
http://bigwww.epfl.ch/demo/jlocalnormalization/
-LOCALNORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image.ln = localnormalize (IM, sigma1, sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaussian kernel with sigma1 and sigma2 respectively.Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China. Inspired by the link: http://bigwww.epfl.ch/demo/jlocalnormalization/
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Size: 1024 |
Author: xj |
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Description: 高效的k-means算法实现,使用了k-d树与局部搜索等提高k-means算法的执行效率,同时包含示例代码,用c++代码实现。 Effecient implementation of k-means algorith, k-d tree and local search strategy are implementd to improve the effeciency, samples are included to show how to use it. All codes are implemented in C++.-Efficient k-means algorithm, the use of a kd tree with local search, such as k-means algorithm to improve the implementation efficiency of the sample code included with c++ Code. Effecient implementation of k-means algorith, kd tree and local search strategy are implementd to improve the effeciency, samples are included to show how to use it. All codes are implemented in C++.
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Size: 907264 |
Author: 陈明 |
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Description: 本程序用MFC实现了灰度图像的处理,功能如下:
几何变换:平移、旋转、缩放;
点处理:线性变换、灰度拉伸、灰度直方图、直方图均衡;
可以给图像产生%3椒盐噪声;
图像的平滑:均值滤波(3X3)、超限中值滤波(3X3);
边缘检测:边缘检测局部算子法,包括Sobel算子、Prewitt算子、拉普拉斯算子;
Fourier变换。-This procedure using MFC realize the gray-scale image processing, functions as follows: geometric transformations: translation, rotation, scaling point treatment: linear transformation, gray stretch, histogram, histogram equalization images can produce 3 Salt and Pepper Noise image smoothing: Mean Filter (3X3), transfinite median filter (3X3) Edge Detection: Edge Detection Operators local law, including the Sobel operator, Prewitt operator, Laplacian Fourier Transform.
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Size: 51200 |
Author: 骆志军 |
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Description: 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)
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Size: 979968 |
Author: 冯灿 |
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Description: non local mean 去噪方法,该方法在空间域中对图像进行降噪。-non local mean denoising code
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Size: 1024 |
Author: nickywu |
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Description: non local mean filter-non local mean filter
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Size: 2048 |
Author: Mazen |
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Description: non local mean algorithm toolboc-non local mean algorithm toolboc
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Size: 1955840 |
Author: Mazen |
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Description: 一种有效的滤波算法,通过比较特定区域内的像素点的邻域均值来进行图像的去噪滤波。-An effective filtering algorithm, by comparing the particular pixel within the region to the neighborhood mean filter for image denoising.
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Size: 2048 |
Author: 关小菊 |
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Description: 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
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Size: 1024 |
Author: adc |
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Description: 非局部均值(Non-local Mean)SAR滤波,matlab程序-Non-local mean (None-local Mean) SAR filtering, matlab program
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Size: 1024 |
Author: luhanxi |
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Description: 包含国内外介绍局部均值分解(一种非平稳信号处理方法)的文献。-articles about Local Mean Decomposition method.
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Size: 7977984 |
Author: hongpan |
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Description: 局部均值分解源代码,难得的matlab程序代码-Local Mean Decomposition
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Size: 20480 |
Author: 江鸿 |
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Description: 2005年J.S.Smith提出的局域均值分解LMD(Local mean decomposition)的原始文献,该方法可用于故障诊断、特征提取、振动信号分析等多领域,是较EMD更为温和的一种自适应算法,目前是热门研究方法。-This is the original article about LMD——Local mean decompositon. Ihis method is a novel adaptive decomposition. It is more better than EMD and achieve more and more attention.
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Size: 616448 |
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Description: FUNCTIONS :
STATISTICS
- MODA Mode of a distribution
- ARGMAX calculates position of the maximum value of matrix V
- ARGMIN calculates position of the minimum value of matrix V
- DRAW_HIST estimates and draws histogram of data
- Random k data generator
2D LOCAL OPERATORS
- LOCALMEAN local mean of 2D image
- VARLOCAL local variance of 2D image
- CVLOCAL Local Square Coefficient of variation
- LOCALMAD local Median Absolute Deviation (MAD)
- FUNCTIONS :
STATISTICS
- MODA Mode of a distribution
- ARGMAX calculates position of the maximum value of matrix V
- ARGMIN calculates position of the minimum value of matrix V
- DRAW_HIST estimates and draws histogram of data
- Random k data generator
2D LOCAL OPERATORS
- LOCALMEAN local mean of 2D image
- VARLOCAL local variance of 2D image
- CVLOCAL Local Square Coefficient of variation
- LOCALMAD local Median Absolute Deviation (MAD)
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Size: 18432 |
Author: ANN |
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Description: The local mean decomposition and its application to EEG perception data
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Size: 1951744 |
Author: huachun zhu |
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Description: The local mean and variance are used as the basis for making changes that depend on image characteristics in a predefined region about each pixel in the image.
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Size: 36864 |
Author: Md. Abbas Ali |
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Description: 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.)
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Size: 12306432 |
Author: 赵红 |
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Description: a Local mean decomposition code, which is useful
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Size: 7567 |
Author: 623899262@qq.com |
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