EOSap_Smoothing

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.)

说明：  基于混合高斯模型和matlab代码实现的前景提取(Foreground extraction based on gaussian mixture model)

显示WMF格式位图！(show WMF format bitmaps!)

能够实现对高光谱数据影像的平滑，可以根据需要设置平滑参数并且能够批量处理(Hyperspectral Smooth)

说明：  图像处理 形态学分割 腐蚀 开运算和闭运算先腐蚀后膨胀先膨胀后腐蚀 膨胀(Morphological segmentation)

nsct——fusious图像融合系统代码nsct——fusious图像融合系统代码nsct——fusious图像融合系统代码(nsct- fusious image fusion system code nsct- fusious image fusion system code nsct- fusious image fusion system code)

很好的解析bmp图片的源代码，很不错的初学者的例子，换页大家下载(Very good analytical bmp image of the source code, it is a good example for beginners, for everyone to download page)

自己编写的粒子群优化算法,以计算一个函数的值作为测试,达到了良好的精度(The particle swarm optimization algorithm written by ourselves is designed to calculate the value of a function as a test, and good precision is achieved.)

一个简单的windows TDI框架,通过他可以熟悉TDI框架模型(A simple windows TDI framework through which he can familiarize himself with the TDI framework model)

帮助大家认识显卡性能，可以直观的见识显卡天梯(To help you understand the graphics card performance)