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说明：  机器学习专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技 能，为包括人脸识别领域的人工智能的发展做出了极大的贡献。本文探索如何应用机器学习中的一些技术，使计算机更好地完成人脸识别领域中的人脸检测和人脸验证。 在人脸检测方面，针对如何快速、准确地检出人脸的问题，基于DLIB中特征模型，可以快速提取检测出人脸，并且提取出人脸特征点,主要作用就是快速检测定位人脸。在训练过程中，引入了ResNet机器学习算法，该算法采用多层卷积神经网络结构，对人脸进行多层特征提取和描述，得到人脸特征描述符。通过测试可以证实了上述方法能够检测和识别人脸。(In terms of face detection, for the problem of how to detect faces quickly and accurately, based on the feature model in DLIB, you can quickly extract and detect faces, and extract face feature points, the main role is to quickly detect and locate faces. In the training process, the VGG-FACE machine learning algorithm is introduced. This algorithm uses a multi-layer convolutional neural network structure to perform multi-layer feature extraction and description on the face to obtain the face feature descriptor. Tests can confirm that the above method can detect and recognize human faces.)

Fritz Keinert写的小波和多小波工具箱(Written by Fritz Keinert wavelet and multiwavelet Toolbox)

说明：  用分水岭算法进行图像分割，借鉴形态学理论，将一幅图看成拓扑性地图，其中灰度值对应地形高度。(The watershed algorithm is used for image segmentation, and a map is regarded as a topological map, in which the gray value corresponds to the terrain height.)

利用DNA加密，将图像加密，啊啊啊啊啊啊啊啊啊啊(Encrypting the image by DNA and encrypting the image)

说明：  图像识别，把行人轨迹绘制在公路图上，有多种显示方式。(Image recognition, drawing the pedestrian track on the road map, has a variety of display methods.)

图像分解，基于能量泛函的，将图像分解成结构和纹理(Image decomposition, based on energy functional, there will be broken down into the structure and texture image)

何恺明等人研究出的基于暗通道的经典图像去雾算法，不仅可以还原图像的颜色和能见度，同时也能利用雾的浓度来估计物体的距离。(The classic fog removal algorithm based on dark channel, which was developed by He Kaiming and others, not only can restore the color and visibility of images, but also can estimate the distance of objects by using the concentration of fog.)

说明：  实现图像配准，两幅不同来源的数据配准，可直接运行，效果直观(Image registration, two different sources of data registration)

数字图像处理中的可逆水印算法，基于差值扩展而得，其容量与其图像像素有关。(The reversible watermarking algorithm in digital image processing is based on the spread of the difference, and its capacity is related to the pixel of the image.)

解决图像的DCT变换与逆变换，为JEPG压缩做铺垫(To solve the image DCT transform and inverse transform, in order to pave the way for JEPG compression)