搜索资源列表
steerable_filters
- Implements the 1st and 2nd order Gaussian derivative steerable filter in matlab.The oriented first order derivative can be obtained by taking the dot product of a unit vector oriented in a specific direction with the gradient. The basis filters are
similarity
- similarity matching and conval filter 2d and 3d
Iris-Recognition
- 基于特征提取算法和2D-Gabor滤波器算法的虹膜识别。-Iris recognition algorithm based on feature extraction and 2D-Gabor filter algorithm.
Kalman
- 包含大量的卡尔曼滤波，平滑，有小例子来学习，老外编的-Kalman filter toolbox written by Kevin Murphy, 1998. See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details. Installation 1. Install KPMtools http://www.ai.mit.edu/~murphyk/Software/KPMtoo
2d_fir_2
- 2D fir filter,it used on model sim for simulation
bianhuanalvbo
- 程序代码说明 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：运用5种不同的梯度增强法进
pyramid
- The function shows how to create a 2D Gaussian lowpass approximation filter. It enables user to tune the parameters (miu, sigma, filter size) of the Gaussian filter to see its effect on the convoluted signal (image).
face
- 维纳滤波去除高斯噪声 二维中值滤波去除椒盐噪声-Wiener filter to remove Gaussian noise 2D median filtering to remove salt and pepper noise
assignment5
- 对视频中的目标通过颜色进行跟踪，并用2D卡尔曼滤波跟踪器重新再次进行跟踪测定。-use color information to track a uniquely colored foreground blob，and also Implement a 2D Kalman filter tracker
ABSTRACT
- Kalman filter used for handtracking in 3d images. for 2D images the hand position can t be tracked accurately depending upon the illumination conditions, that can be overcomed by using 3D images
THESIS
- 3 D hand tracking was advantages when compare to 2D hand tracking.in 2d the images may be not accurate in detection of hand if hte illumination changes, that can be overcomed by using the 3dhand tracking using kalman filter
pic360
- 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：运用5种不同的梯度增强法进行图像锐化 P
const_velocity2D
- 这是检测、估计和调制理论一书（卷I。孙进平等译），书上例9.21二维跟踪问题的卡尔曼滤波器的程序，同时使用了扩展卡尔曼滤波的理论-the book is <Detection,Estimation and Modulation Theory,Part I>Harry L.etc. the 9.21 ,2D tracking ,karlman filter,and extent karlman filter
Gaussian filter_matlab code
- Ganerate the gaussian filter (2d)
make_filter
- 程序做的是相关函数二维和三维滤波,包括海明窗和海宁窗(makes 2D and 3D filter for the correlation function)
lab3
- 下载图片然后傅立叶变换 展示频谱 计算灰度级平均值 使用高斯低通滤波器，可以指定size,m*n，高斯函数的中心位置。 用例图做高斯低通滤波。((a)Download Fig. 4.41(a) from the book web site and compute its (centered) Fourier spectrum. (b) Display the spectrum. (c) Use your result in (a) to compute the average val
Frequency Filtering
- The reason for doing the filtering in the frequency domain is generally because it is computationally faster to perform two 2D Fourier transforms and a filter multiply than to perform a convolution in the image (spatial) domain. This is particularly
qsm_swi_2d.m
- 用于进行swi处理，二维hanning窗滤波，最小密度投影(swi processing, 2d-hanning window filter, minimum intensity projection)
线性滤波
- 线性低通滤波器最常用的是线性平滑滤波器，这种滤波器的所有系数都是正的，也称邻域平均。邻域平均减弱或消除了傅立叶变换的高频分量，对噪声的消除有所增强，但是由于平均而使图像变得更为模糊，细节的锐化程度逐渐减弱。 下面使用不同的平滑模板对图像进行滤波：（二维线性滤波fliter2）(The most commonly used linear low-pass filter is the linear smoothing filter, which has all the positive coeff
傅里叶谱与频域低通滤波
- 傅里叶谱与频域低通滤波 (a)从图书网站下载图4.41(a)并计算其(居中)傅里叶谱。(b)显示频谱。(c)在等式(4.8-7)中实现高斯低通滤波器。您必须能够指定结果2D函数的大小，M x N。此外，您必须能够指定高斯函数的中心位置。(d)从图书网站下载图4.41(a)，并对其进行低通滤波，以复制图4.48中的结果。(Fourier Spectrum and Lowpass Filtering in Frequency Domain (a) Download Fig. 4.41(a)