c1700-ios

论文介绍了一种SFS 算法的参数估计及其实现。它在考虑自遮掩影响的情况下, 有效地估计了SFS 算法中涉及的各种控制参数, 并引入亮度约束、灰度梯度约束和可积性约束, 计算出表面高度和表面向量, 实现三维重构。最后还指出了在Matlab 中实现需要注意的问题。(The paper introduced a SFS algorithm parameter estimation and its implementation. It under the condition of considering the covering effect, estimates the SFS algorithm effectively involved in all kinds of control parameters, and introduces brightness constraint, gray level gradient constraint and the integrability of constraints, calculate the surface height and surface vector, realize the three-dimensional reconstruction. Finally, points out the problems requiring attention is realized in Matlab. )

图像处理实习（针对遥感影像），包含许多经典的图像处理功能，比如多种植被指数计算、小波变换、镶嵌、图像分类等(Image processing internship (for remote sensing images), contains many classic image processing functions, such as a variety of vegetation indices, wavelet transform, mosaic, image classification, etc.)

利用matlab提取红绿灯的二值图像！！！！！！(Extract the two value image of the traffic light.)

算法工程师学习现代通信知识的基础教材，国外进口翻译版。(Algorithm Engineer learn basic knowledge of modern communication materials, imported translations.)

matlab关于DCT的图像处理程序 供大家交流(Matlab on DCT image processing procedures for the exchange of)

稀疏表示，包括ksvd图像去噪，matlab程序，程序有详细注解，便于初学者学习，代码可以直接使用(Sparse representation, including ksvd image denoising， Matlab procedures, procedures are detailed notes, easy for beginners to learn, code can be used directly)

关于CCD相机的选型，帧率，幅宽，曝光时间(CCD CAMERA)

一个基于Tikhonov正则化超分辨率重建，可以成功运行。(A Tikhonov based regularized super resolution reconstruction can be successfully operated.)

说明：  实现图像分类，可完成对图像的多分类问题，效果较好(Realize image classification, can complete the multi-classification of images, the effect is better)

城轨车辆轮对踏面故障在线监测系统，基于振动检测法的轮对踏面故障监测系统，通过傅里叶变换、小波包分析对釆集到的振动信号进行分析获得信号的特征,研究了基于短时能量判断的踏面故障特征提取算法。(On line monitoring system for wheel tread of urban rail vehicles, based on the vibration detection method of wheel tread fault monitoring system, through the Fu Liye transform, wavelet packet analysis of the collected vibration signals to obtain the characteristics of the signal, the study of the short-term energy judgment based on the feature extraction algorithm.)