搜索资源列表
localnormalize
- 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 Gaus
filter
- median filter alpha-trimmed mean filter adaptive,local noise reduction filter
nonlocaldenoise
- 非局部去噪算法-nonlocal denoise 源码-Non-Local Denoising Algorithm-nonlocal denoise source
KernelTracking
- A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kern
Tracking
- 提出一种新的目标表示和定位方法,该方法是非刚体跟踪的核心技术.利用均质空间掩膜规范基于特征直方图的目标表示,该掩膜引入了适合于梯度优化的空间平滑相似函数,所以可以将目标定位问题转换为局部极大值求解问题.我们利用从Bhattacharyya系数倒出的规则作为相似度量,利用mean shift procedure完成优化求解.在给出的测试用例中, 本文方法成功解决了相机移动,阴影,以及其他的图象噪声干扰.文章对运动滤波和数据关联技术的集成也进行了讨论.-A new objective and pos
nlm_code_for_mri
- 非局域均值去噪算法，以及针对mri图片rician噪声的改进算法。-nonlocal mean denoising algorithm, and its modified version for mri images with rician noise.
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
nol-local
- 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.
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
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
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
local-statistics-toolbox
- 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
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
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!
jubujunzhihejububiaozhuncha1
- 本算法实现图像的局部均值和方差的求法，很容易理解。-The algorithm for image local mean and variance for France, it is easy to understand.
super_resolve_up
- Super resolution reconstruction using Non-Local-Mean algorithm.
super_resolve_up
- Super resolution reconstruction using Non-Local-Mean algorithm.
NL_MEANinpainting
- non-local mean exemplar based inpainting MATLAB
US-denoising-and-segment
- 关于超声图像散斑噪声去除（基于非局部均值的快速滤波算法）和超声心动图的分割（基于变分水平集）-This code is concerning with the Speckle reduction(accelerated algorithm based on non-local mean filtering) and the segment of image(based on level set)