搜索资源列表
matlab
- P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运
Winrar3.72
- Nothing to confirm, so it is to short for understanding mean of this kind
ONBMP
- 中值滤波和均值滤波以及直方图均衡程序，是图像处理的较好的程序-Median filter and mean filter and histogram equalization process, is the better image processing procedures
chapter5_1011
- 这是模式分类一书中第五章的LMS(最小均方算法）和Ho-Kashyap算法的matlab代码实现。-This is the pattern classification of a book chapter V LMS (least mean square algorithm) and the Ho-Kashyap algorithm matlab code.
colorimageretrivew
- 实现彩色图像显著区域提取，基于注意力机制，使用算法包括k-means,分割等。-salient region detection
kmean2
- 用VC写的关于k-mean聚类算法的程序。-Written by VC on the k-mean clustering algorithm procedure.
zncc
- ZNCC Normalized cross correlation m = zncc(w1, w2) Compute the zero-mean normalized cross-correlation between the two equally sized image patches w1 and w2. Result is in the range -1 to 1, with 1 indicating identical pixel patterns.-ZN
GJ
- 中值滤波与均值滤波的程序，采用C++编写，属于数字图像处理。-Median filter and mean filter procedure, the use of C++ development, belongs to digital image processing.
kNN
- It s the kNN or else named k-Nearest Neabours algorythm, realized by the tools of Visual Studio developer system.
k-centers
- 不同于k均值聚类的k中心聚类，2007年SCIENCE文章Clustering by Passing Messages Between Data Points 中的方法-Unlike k-means clustering of the k cluster centers, in 2007 SCIENCE article, Clustering by Passing Messages Between Data Points of the Method
KFCMClust529
- 标准的模糊C聚类算法程序，做聚类图像处理的非常有用-the corresponding algorithms are called kernel fuzzy c-means (KFCM) and kernel possibilistic c-means (KPCM) algorithms. And some test results are given to illustrate the advantages of the proposed algorithms over
fcm
- 通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
ls_mmse_updated
- channel estimation using Ls and MMSE algorithms also calculates the Mean square error and SER-channel estimation using Ls and MMSE algorithms also calculates the Mean square error and SER
image
- 应用matlab或VC语言编制图像处理软件，软件功能如下： 一、实验类型 1． 读入图像，并对灰度图像或彩色图像进行显示，对彩色图像可以转化为灰度图像；（8学时） 2． 对读入的图像可以实现减小和提高图像分辨率的功能（16学时） 3． 计算灰度图像的直方图并进行显示，讨论不同图像灰度分布的直方图特征（16学时） 4． 对上述图像进行直方图均衡化处理，分析直方图均衡化的处理结果；（16学时） 5． 对给定的彩色图像，显示其R、G、B三分量图像的噪声图像及H、S、I三分量完成
fuz
- 使用Fuzzy Cluster Mean (FCM)與Principal component analysis (PCA)分類Yeast Data-Yeast data will be classified by means of Fuzzy Cluster Mean (FCM)and Principal component analysis (PCA) based on matlab.
dupc
- 椒盐噪声、高斯噪声的均值滤波、中值滤波、高斯滤波-Salt and pepper noise, Gaussian noise of mean filtering, median filtering, Gaussian filtering
kmean
- K-mean 模式識別分析法使用k-mean作為分析方法-K-mean
SimpleKMeans
- K-Means C++实现 带演示程序 K-Means C++实现 带演示程序-K-Means C++ to achieve with demo program
liftwave_edge_detection
- 本实验对图片进行超绿色灰度化后采用不同算子对mean——shift后的图片进行分割，效果还可以，但是边界点不连续。-This experiment on ultra-green to gray-scale images after the use of different operators on the mean- shift of the picture after the split, the effect can be, but not for the border points.
edge_detection
- 本实验对图片进行超绿色灰度化后采用不同算子对mean——shift后的图片进行分割，效果还可以，但是边界点不连续。-This experiment on ultra-green to gray-scale images after the use of different operators on the mean- shift of the picture after the split, the effect can be, but not for the border points.