搜索资源列表
KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
LocalEnhancement
- This program implements the Local Statistics enhancement, using mean and sigma of the local mask
deblurring
- 该论文是由北京理工大学研究的关于超分辨率复原的一些问题，此论文验证了超分辨率复原的可能性，并且相关概念和影响，最后列举出一些实用方法-The paper from the Beijing Polytechnic University' s research on the super-resolution restoration of some of the problems, this paper demonstrated the possibility of super-resoluti
test_LNL
- 线性非局部均值滤波器用于图像处理中的去除噪声平滑图像，能够较好的保持图像的边缘-Linear non-local mean filter for image processing to remove noise smoothing of images, to better maintain the image edge
local_mean_std_deviation
- Improve a picture based on local mean with stdandard deviaton algorithm. No image processing toolbox is needed!
FACE-RECOGNITION
- 此文的目的有三个：第一，当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次，注册稀疏Winnows网络分割，提出了加快原分类。最后，特点和分类相结合对于正面人脸检测任务。检测结果列 为MIT + CMU系统和BioID数据库。关于这人脸检测器，接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabce
seprate
- 指纹图像分割~利用分开的局部均值及方向场方法-~ Use of fingerprint image segmentation and direction of separate local mean field method
NLmeansfilter
- non local mean filter commande example I =mat2gray(imread( eight.tif )) mn= 0 vr= 0.02 J = imnoise(I, gaussian ,mn,vr) add noise output=NLmeansfilter3(J,7,3,0.1) -non local mean filter commande example I =mat2gray(imread( eight.t
character_calculation
- 自编的图像特征的快速计算，包括局域均值，局域方差，变差系数，峰度等统计量-the calculation of the local mean, local variance, local coffiecnt of varition et al.
sauvola
- 使用sauvola方法进行的图像二值化，其中包含了计算局部均值和方差的函数，使用Opencv进行数据保存-Use sauvola method of image binarization, contains a function to calculate the local mean and variance, using Opencv for data storage
NLMeans
- 非局部均值滤波 输入: 待平滑的图像 t: 搜索窗口半径 f: 相似性窗口半径 h: 平滑参数 NLmeans(ima,5,2,sigma)-Non-local mean filtering input: to be a smooth image t: the search window radius f: similarity of the window radius h: smoothing parameter NLmeans (ima, 5,2, s
LMD-matlabshixian
- 局部均值分解方法的matlab实现程序，经matlab7.0调试通过-Local mean decomposition method of matlab program, by matlab7.0 debugging through
LMD
- 根据LMD的原始定义自己编写的LMD代码- local mean decomposition matlab code according to it s original paper
image_denoising
- 常见的图像加噪和去噪方法，可以进行相互的比较，适合初学者上手，帮助理解概念-here s some common ways to denoise the image, including some ways like butteworth and wiener, and non local mean!
lmd
- 对信号进行局部均值分解，得到一系列具有物理意义的pf分量-Local mean decomposition of the signal to obtain a series of having a physical meaning PF component
nmlgb
- 非局部均值滤波的主要代码,运用到数字图像处理的降噪，希望有用。-Non-local mean filtering code, the use of digital image processing, noise reduction, and I hope useful.
lmd2
- 局域均值分解的算法程序，摘自残翅天使的博客，希望大家共同学习。-local mean decomposition
LMD
- 局域均值分解的程序，此为经验模态分解方法的另一种改进，此方法能够减小端点效应的影响，但是模态混叠问题还是没有得到完全抑制-Local mean decomposition process, this is the empirical mode decomposition method is another improvement, this method can reduce the effect of the endpoint, but the modal aliasing problem h
lmd
- === ====信号lmd分解-========== signal local mean decomposition ============
lmdeeg
- 局域均值分解算法，应用于EEG信号，没有采用滑动平均法-Local mean decomposition algorithm, used in EEG signals, without using the moving average method