sift

程序为读取图片并对图片进行边缘检测，先采用高斯滤波进行去噪，然后通过求梯度运算检测，非极大值抑制边缘检测，双阈值检测这三种方法，分别对图片进行边缘测，并对边缘检测后显示的图片进行对比。此程序对边缘检测有很大的参考价值。(Program to read the image and image edge detection, Gaussian filter to remove noises, and then detected by calculating the gradient operation, the non-maxima suppression edge detection, dual-threshold detection of these three methods, namely the picture edge test, and the rear edge detection to display image comparison. This program is great for edge detection reference value.)

说明：  Arnold 变换与 Gray 码变换相融合的双置乱算法程序，包括了加密和解密程序(The program of double scrambling algorithm combining Arnold transform and gray code transform, including encryption and decryption program)

对比了常见的几种去噪方法，含中值滤波，均值滤波，维纳滤波，高斯滤波，以及三种形态学滤波（一般的，改进的，多结构元素形态学滤波）(Comparison of several common Denoising containing median filtering, mean filtering, Wiener filtering, Gaussian filtering, as well as three morphological filtering (generally improved, multi-structural elements morphological filtering))

DOG检测算子，能够构造高斯尺度空间，并检测其中的极值，从而得到有价值的特征点位置(DOG detection operator, the Gaussian scale space can be constructed, and tested one of the extremes, resulting in valuable feature position)

该源码为目标检测和跟踪算法 包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (The source code for target detection and tracking algorithm include: 1 Static background background prediction target detection 2 Static background frame difference method for target detection 3. Mean Shift tracking method 4 multi-target tracking methods focus)

用于图像融和的窗口化工具，包含了几乎所有的常用融和算法：pca, Ihs, 金子塔,小波变换，多孔小波变换，brovey融合等。(The window for image integration tools, including almost all of the commonly used integration algorithm: pca, Ihs, pyramid, wavelet transform, multi-Kong Xiaobo transformation, brovey integration.)

图像中目标的定位， 边缘检测，检测目标并跟踪，(The positioning of the target image, edge detection, target detection and tracking,)

改程序是用来行人检测的，有源代码，可以轻松学习并参考。(The reform program is used for pedestrian detection, source code, you can easily learn and reference.)

结构相似度函数，数字图像质量评价的一种经典方法(for image quality evaluation)

srad斑点去噪各向异性扩散滤波器,代码很短，本身该方法就含有不少的偏微分方程，看懂需要仔细研究。(srad, speckle denoising anisotropic diffusion filter)