Human-Action-Detection-Resources

图像金字塔分解与图像金字塔重构matlab 程序，我试过了，很不错(Image pyramid decomposition and reconstruction of image pyramid matlab program, I tried, very good)

能将一幅灰度图像根据用户自己给定的彩色图像将其对应的转化为真彩色图像。(Gray image can be processed into rgb image.)

说明：  XYZ视频图像压缩编码的应用原理与实际生活应用 (XYZ video image compression encoding)

图像增强的matalab程序，里面有基于小波的，contourlet变换的，拉普拉斯塔等的增强，比较详细，有说明文件里面(Matalab image enhancement procedures, which have based on the wavelet, contourlet Transform, etc.拉普拉斯塔enhanced, more detailed, it has documentation)

介绍了混合高斯背景建模法提取运动目标的过程，自己写的，比较好理解，付视频一个，用自己的视频也可以(Describes the process of Gaussian mixture background modeling method to extract moving target, write your own, is better understood, paid a video, you can use your own videos)

关于图像处理的一些基本操作，空间、频域图像增强，形态学处理，边缘检测等(About some of the basic image processing operations, space, frequency domain image enhancement, morphological processing, edge detection, etc.)

本程序包括了三个程序，L1范数正则化，L2范数正则化，Tikhonov正则化超分辨率重建。经反复测试，没有BUG。(The program includes three procedures, L1 norm regularization, L2 norm regularization, Tikhonov regularization super-resolution reconstruction. After repeated testing, no BUG.)

matlab图像边缘边缘检测：包括小波多尺度边缘检测主程序、求纵向细节v和横行细节h的合成及模极大值、对矩阵取自适应阈值等(Matlab Edge Edge Detection : including wavelet multiscale edge detection main program. seeking details of the vertical and horizontal v h details of the synthesis and modulus maxima, the right matrix for adaptive threshold value)

说明：  数字图像处理：阈值分割及形态学处理，本程序出色的完成了图形提取，内容包括程序，讲解和运行结果(Digital image processing: segmentation and morphology threshold treatment, the procedure was completed excellent graphics extraction, including procedures and operations on the results of)

本书主要讨论了图像的各类矩函数（几何矩、复数矩、Legendre矩、Zernike矩、小波矩等）的定义、性质和快速算法，以及它们的不变量函数。并就它在图像处理和识别，计算机视觉以及其它方面的应用作了必要的介绍。 (This book discusses the various types of image moment function (geometric moments, complex moments, Legendre moments, Zernike moments, wavelet moment, etc.) of the definition, nature and fast algorithm, and their non-variable function. On it in the image processing and recognition, computer vision, and other aspects of the application made the necessary introduction.)