12148086KSVD_Matlab_ToolBox

关于MC三维重建算法的二义性消除的文章，很好的消除了MC算法中的二义性(it s the article about Three-dimensional reconstruction algorithm to eliminate ambiguity in MC)

实现目标跟踪的算法，是目前比较先进具有代表性的算法的代码(target track algorithm )

文章讲诉的是小波在信号处理方面的应用，包括奇异点的检测，信号降噪等，有很全的原理介绍，有仿真程序和结论分析，具有一定的学习价值(V. article stresses that the wavelets in signal processing applications, including the singular point detection, signal noise, etc., have very wide introduction of the principle, procedure and conclusions have simulation analysis, has some learning value)

基于RADON变换的。运动模糊处理，其中程序请按说明使用(Based on the RADON transform. Motion blur processing, in which procedures follow the instructions to use)

说明：  matlab图像去模糊算法代码，使用两倍长度的点扩散函数进行维纳滤波，模糊图像加入随机噪声，计算噪声信号功率比，使用噪声能量和图像一维自相关函数进行维纳滤波，模糊后的图像，减小噪声能量进行规则化滤波，增大拉格朗日乘子进行滤波，继续对恢复的图像反卷积，产生模糊图像，最初的PSF，显示最初PSF下恢复的PSF。(MATLAB image deblurring algorithm code, using double-length point spread function for Wiener filtering, adding random noise to blurred image, calculating noise signal power ratio, using noise energy and image one-dimensional autocorrelation function for Wiener filtering, blurred image, reducing noise energy for regular filtering, increasing Lagrange multiplier for filtering, continue to restore the image. Like deconvolution, a blurred image is generated. The original PSF displays the restored PSF under the original PSF.)

基于凸集投影算法的超分辨率图像重建算法，在现有算法基础上改进计算精度和效率。(To improve the computational accuracy and efficiency in the existing algorithms based on super-resolution image reconstruction algorithm based on projections onto convex sets algorithm.)

医学图像分割是数字图像分析中的重要环节，是长期以来国内外研究的热点问题，本代码专注于血管图像领域的分割。(Medical image segmentation is an important part of digital image analysis, is a hot topic at home and abroad for a long time, this code is to focus on areas of blood vessel image segmentation method.)

k均值聚类分析。K-means clustering analysis(K-means clustering analysis)

C++和halcon结合，用于图形处理时进行三相机标定(C++ and halcon combined for three camera calibration)

说明：  在图像处理中如何进行视频处理，如何从yuv格式的序列中提取出亮度信息，这是后面对视频处理的基础。(In image processing for video How to deal with how to format yuv sequence information extracted brightness, this is the basis of the face of video processing.)