缺陷检测、顶帽变换、低帽变换

这是本人发表的目标跟踪方面论文使用的代码，是基于随机假设概率滤波的多目标跟踪算法。(This is the code used by the target tracking paper I published, filter multi-target tracking algorithm based on the probability of a random assumption.)

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)

程序可以提取点云数据的特征点，提取三维散乱点云的边界(Program point cloud data can be extracted feature points extracted boundary of D Scattered Clouds)

差影法去背景---部分测试，感觉还行，与大家分享，呵呵差影法去背景(Poor background--- Shadow law to some of the test, I feel also visit to share with you, huh, huh difference method to the background shadow)

使用CGAL库对人体三维网格分割并且把分割后的网格展开到一个平面上(using cgal to segment a mesh an expend )

surf特征点提取与匹配，该算法能达到实时性的要求，不仅能用于两幅图的匹配，还能用于单幅图的复制粘贴取证(surf feature point extraction and matching, this algorithm can achieve real-time requirements, not only for the two graph matching, but also for single figure copy and paste forensics)

一般自然图像的梯度分布符合重尾分布，重尾分布也就是超拉普拉斯分布，根据这个特点进行图像复原。(The gradient of a natural image in line with heavy-tailed distribution, which is ultra-heavy-tailed distribution Laplace distribution, image restoration based on this feature.)

该文件使用特征点提取-图像匹配-图像剪影三部，精确检测车辆或运动物体。(the documents Feature Extraction-Image Matching- Image Capture 3, accurate detection of vehicles or moving objects.)

图像压缩编码，dct变换，量化， Z字形扫描 行程编码(Image compression, dct transform, quantization, Z-shaped scan length encoding)

自己编的pal-King增强算法的代码和基于模糊熵的增强算法代码(Own series pal-King Enhanced the algorithm code based on fuzzy entropy enhancement algorithm code)