动态背景

Matlab小波稀疏代码。本程序实现小波在矩阵方程求解中的应用。(Matlab wavelet sparse code. This procedure achieved wavelet matrix equation solver.)

提出了一种基于非下采样Contourlet 变换的自适应图像去噪方法 首先对噪声图像进行非下采样Contourlet 变换，得到各 个尺度各个方向子带的系数，再根据该系数的能量自适应地调整去噪阈值 实验表明，与Contourlet 多尺度阈值去噪 Contourlet 自 适应阈值去噪相比，该方法在保留图像边缘细节的同时，能提高图像的PSNR 值，减少了Gibbs 现象(A new adaptive method of image de-noising based on NonSubsampled Contourlet Transform （NSCT）is presented.Firstly， the noisy image is decomposed into a set of multiscale and multidirectional frequency subbands by NSCT， and then the threshold is adapted automatically according to the energy of subband coefficients.Compared with the multi-scale threshold using contourlet transform and using adaptive threshold based on contourlet transform， the simulation results show that the performance of this method is superior in PSNR， meanwhile it can maintain the image edge and reduce the Gibbs phenomen)

说明：  滑窗计算刀具磨损量，拟合刀具边界，自动计算磨损量(sliding window based tool wear calculation)

运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。(Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.)

图像处理，手写数字识别，GUI界面内自写数字，可以用来学习。(Image processing, digital handwriting recognition, digital write within the GUI interface, can be used to learn.)

图像分割 自适应阈值法，otsu法，区域生长法，最大熵法，贝叶斯法，kMeans法，MeanShift法。(Adaptive threshold image segmentation method, otsu method, region growing method, the maximum entropy method, Bayesian method, kMeans law, MeanShift law.)

igmt one of geo-image software

此篇论文是利用稀疏低秩矩阵分解来实验的鲁棒图片的矫正。(This paper is the use of sparse low rank matrix decomposition to experimental robust image correction。 )

水平集代码和论文，图像分割,快速有效的图像分割方法(code and paper about level set,image segmentation)

实现Hough直线检测，标记直线的两端点坐标，再对相似的直线做曲线拟合，可以完美实现边缘连接。(Hough line detection, marking a straight line at both ends of point coordinates, similar linear curve fitting, can be the perfect realization of the edge connector.)