搜索资源列表
Perona_Malik
- P-M滤波模型是一种比较成熟的滤波方法，他能够很好地滤除各种噪声-Perona Malik
CS_OMP
- 1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构-1-D signal the realization of compressed sensing (orthogonal to match the tracking method Orthogonal Matching Pursuit) number of measurements M = K* log (N/K),
csdemojs1.m
- 用最近热门的CS算法重建核磁共振图像，利用稀疏转换将水膜图像稀疏化利用CS算法重建恢复,并分析了效果。-Recent popular CS algorithm for reconstruction of magnetic resonance images using sparse conversion sparse use of the water film images CS algorithm for reconstruction recovery and analysis of the e
csdemojs2.m
- 利用CS算法进行核磁共振图像恢复程序，采用随机二维欠采样，最优的CS采样模型集中在卡笛儿采样轨迹。-CS algorithm for magnetic resonance image recovery procedures using random two-dimensional due to sampling, the sampling trajectory optimal CS sampling model is concentrated in the Cartesian children.
projects
- 共两个matlab函数，一为块Toeplitz方程的递归解法；二为约束最小二乘算复原法。-The file contains two m files.One is algorithm for Block Toeplitz equation The other is Constrained least squares for image deblurring
IPM
- 完成对图像的逆透视映射变换，需要给出摄像头的高度，视角和最终图片的横向宽度（米）。一旦给定参数准确，即可得到效果很好的逆透视映射变换图片。-Complete the inverse perspective mapping transformation on the image and the need to give the transverse width (m) at the height of the camera, the viewing angle and the final pict
Create_Dro1733064132004
- This a custom container control which has 9 different caption alignments, 6 caption styles, 8 appearances, and 4 styles including transparent. I ve tried to make this as bug free as possible, but I can t guarantee that it is. I m always looking for s
fruitextract
- 只要运行“apple.m”就可以了 按照灰度化，直方图均衡化，中值滤波，边缘检测，特征提取的顺序来 特征提取中，取得“比例系数”时，选择一张横径图片，序号与之前选择图像的相同-Just run the " apple.m" on it in accordance with the grayscale, histogram equalization, median filtering, edge detection, feature extraction feature
Fingerprint-Enhancement
- 指纹增强的matlab实现源代码，包含多个matlab函数文件。-ridgesegment.m identifies ridge-like regions of a fingerprint image. It also normalises the intensity values of the image. ridgeorient.m estimates the local orientation of ridges in a fingerprint. plotridgeorient.
8c817af3907a
- 图像三维数据重建，M语言，非常有用，快点下载吧，亲-Image three-dimensional data reconstruction M language, useful, quickly download it, pro-
yici
- 建立M序列进行一次辨识源程序，过程辨识，系统辨识-The establishment of M sequences are only one step identification of source program
src
- 背景减除的完整算法，《A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection》作者源代码-The "src" folder contains all of the source code. To run the program, follow these simple steps: 1. Start MATLAB and ensure the "src" fold
boat-realise
- 本程序用于区分海面舰船与海水。应用算法为小区域方差对比，程序简单，适用于初学者参考的例程。主程序为var.m，dxout.m为方差计算程序。其余图片为测试图片。-This procedure is used to distinguish sea ships with seawater. Application algorithm for small regional variance contrast, simple procedures, suitable for beginners refe
OMP
- 正交匹配追踪算法的核心matlab程序代码用于对目标进行跟踪，只需把扩展名改为m就可用了-Orthogonal matching pursuit algorithm the core Matlab code used to track the target, just change the extension to m can be used
niblack
- niblack二值化算法 在matlab环境下运行m文件-niblack binarization algorithm run m file in Matlab environment
m.file
- 语音增强算法，谱减法、小波变换以及数学形态学等的语音增强算法针对信噪比、语谱图、去噪情况，分析比较-Speech enhancement algorithm, spectral subtraction, wavelet transform and mathematical morphology speech enhancement algorithm for signal-to-noise ratio, the spectrogram denoising situation analysis
Daubechies
- 利用Daubechies小波（m=2）分解与重构一个函数。初始系数取为函数值本身-Use Daubechies wavelet (m = 2) decomposition and reconstruction of a function
wavelet
- 利用Daubechies小波(m=2)对函数的小波包分解与重构。把函数值作为起始系数-Use Daubechies wavelet (m = 2) the function of wavelet packet decomposition and reconstruction. The function value as initial coefficient
ZIG_ZIG_SCAN
- 正zigzag扫描和它的恢复。zigzag.m是zigzag扫描的程序，invzigzag.m是把扫描的值转换成原矩阵。-Positive zigzag scanning, and its restoration. zigzag.m the zigzag scanning process, invzigzag.m the scanned values are converted to the original matrix.
kde_bg_v1.0
- 基于核密度估计的背景减法算法，拥有命令行界面的C++源代码。-kernel density estimation based background subtraction algorithm [1] with a command line interface. this algorithm is a somewhat improved version of [2]. the kmovingobjdetector class within the project is originally w