icp2

盲信号分离的fastICA算法，读取具有混合干扰的4幅图像，处理后显示分离后图像(Blind Source Separation Algorithm fastICA, read with mixed disturbance of four images, processed images show that after the separation)

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.)

程序进行了两张图片的简单合并，适合对控件的使用进行学习(Procedures carried out two simple merger picture, suitable for the control of the use of learning)

用来识别火焰边缘，对高速摄影拍摄的火焰图片边缘进行提取(To identify the edge of a flame)

本软件能根据轧制工艺条件快速准确地计算出轧制力，并已经通过实际检测，与实际值误差在10％之内，建议教学轧制力时采用(software based on the rolling conditions quickly and accurately calculate the rolling force, and has adopted effective detection, and the actual value of the 10% error within the recommended teaching rolling force used.)

一个matlab处理海量数据的优化方法和源代码,不错的源码 很好(A handle huge amounts of data optimization method and matlab source code, a good source is very good)

说明：  最小二乘滤波图像复原程序，用真实的PSF函数和噪声强度作为参数，可以运行(Least-squares image restoration filtering process, with the real PSF function and the noise intensity as a parameter, you can run)

何开明引导滤波去雾算法matlab实现引，导滤波在滤波的同时，具有保边缘的特效，考虑了空间因素，可以用在图像去雾算法中对透射率t的优化中，能起到很好的效果(Matlab implementation of He Kaiming guided filtering algorithm)

基于matlab的图像处理边缘提取程序，包含各种常用的边缘提取方法。(Matlab image processing based on edge extraction process, contains a variety of commonly used edge detection methods.)

测试程序 检测出＋＋代码 测试程序 检测出＋＋代码 测试程序 检测出＋＋代码 测试程序 检测出＋＋代码 测试程序 检测出＋＋代码 测试程序 检测出＋＋代码 测试程序 检测出＋＋代码 (test programe test programe test programe test programe )