搜索资源列表
Snakes_Active_Contour_models_Image_Process_GVF
- 图像处理的关于Snakes : Active Contour Models算法和水平集以及GVF的几篇文章，文章列表为： [1]Snakes Active Contour Models.pdf [2]Multiscale Active Contours.pdf [3]Snakes, shapes, and gradient vector flow.pdf [4]Motion of level sets by mean curvature I.pdf [5]Spectral S
duo-te-zheng
- ：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒
aaa
- 1.图像尺度转换，降低图像分辨率，采用局部平均法、中值法；2.图像质量评价：均值、标准差、信息熵、平均梯度-1.Image scaling, reducing image resolution, using a local average、median method；2.Image quality assessment: the mean, standard deviation, entropy, average gradient
An-HOG-LBP-Human-Detector
- 一种基于HOG-LBP特征的人脸检测方法，对于遮挡的人体非常有效。-By combining Histograms of Oriented Gradients (HOG) and Local Binary Pattern (LBP) as the feature set, we pro- pose a novel human detection approach capable of handling partial occlusion. Two kinds of detectors
recursion
- 递归，是函数实现的一个很重要的环节，很多程序中都或多或少的使用了递归函数。递归的意思就是函数自己调用自己本身，或者在自己函数调用的下级函数中调用自己。 递归之所以能实现，是因为函数的每个执行过程都在栈中有自己的形参和局部变量的拷贝，这些拷贝和函数的其他执行过程毫不相干。这种机制是当代大多数程序设计语言实现子程序结构的基础，是使得递归成为可能。-Recursion, is a function to achieve a very important part of many programs
WindsPhoto
- 支持本地上传和远程图片，自动盗链吝啬的国内门户提供的博客/空间/相册中的图片； 缩略图和列表两种方式显示，上传时自动生成缩略图，可以设置缩略图大小、文字水印和LOGO水印；-Supports local and remote upload pictures, automatic Daolian mean the domestic portal' s blog/space/album pictures thumbnails and list two ways to display, u
teager-and-lmd
- 用teager能量算子来解调出复杂信号的纯调频挑夫函数，用LMD来进行局部均值分解-Pure FM demodulated complex signal porters function with Teager energy operator, using LMD to carry out the local mean
cannyfinal
- 基于图像边缘结构的非局部均值图像去噪算法-Non local mean image denoising algorithm based on image edge structure
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
NLM
- NLM非局部均值的降噪C代码，已经优化过了，速度明显提高，学要的可以下载一下-NLM non-local mean noise reduction C code, has been optimized, the speed was significantly improved, the study can be downloaded
lmd1
- 局部均值分解，matlab 程序， 实 现 对 数 据 的 分 解。(Local mean decomposition)
NLmeansfilter_Fast
- 基于非局部均值快速算法，使用matlab实现。论文《FAST IMAGE AND VIDEO DENOISING VIA NON-LOCAL MEANS OF SIMILAR NEIGHBORHOODS》(Fast algorithm of non local means)
Non-Local Means Filter
- 能够实现图像的预处理也就是去噪处理，比中值滤波、均值滤波效果都要好。(Can achieve the image preprocessing is denoising, than the median filter, mean filtering effect is better.)
poisson_nlmeans
- An extension of the non local (NL) means is proposed for images damaged by Poisson noise. The proposed method is guided by the noisy image and a pre-filtered image and is adapted to the statistics of Poisson noise. The influence of both images ca
LMD
- 局部均值分解程序，可根据信号本身的信息进行自适应分解，用于信号数据或图形数据的分析处理。(The local mean decomposition program can be adaptively decomposed according to the information of the signal itself, which is used for the analysis and processing of signal data or graphic data.)
LMD
- 局部均值分解matlab代码，能够较好地将信号进行分解为一系列的PF分量(local mean decomposition)
算法lmd
- 针对局部均值分解算法过分解的问题，对程序内部做出了微小的改进，并且程序的运行时间得到了较大缩减(According to the problem of decomposition of local mean decomposition algorithm, small improvements are made to the program, and the running time of the program is greatly reduced.)
lmd
- 局部均值分解，Matlab文件,能有效分离信号。(Local mean decomposition)
LMD matlab程序
- 局域均值分解法将一组非平稳信号分解为若干个PF信号和一个残余信号。可以将高频信号分解为低频信号，并且没有失真。(The local mean decomposition method decomposes a group of nonstationary signals into several PF signals and a residual signal. The high frequency signal can be decomposed into low frequency sign
Non_Local_Means
- 非局部均值图像去噪matlab程序，可以直接运行，不需要修改，去噪效果还可以(Matlab program for non-local mean image denoising)