matlab-TE-fault1

编程实现了抑制sar图像相干斑噪声的lee滤波算法，效果较好，可直接运行( lee filter )

全部都是图像处理的最新文献，与激光雷达有关，利用激光与摄像头结合，实现主动驾驶(image processing)

VIDEO COMPRESSIONS BEST TUTORIAL

用Visual C++实现Hough变换(Using Visual C++ Achieve Hough Transform)

说明：  实现对图像的归一化处理，为图像进行水印嵌入等操作打下基础(The realization of the normalized image processing, for image watermark embedding operation, such as laying a foundation)

数字图象处理，模式识别，人脸识别，包括了程序和一个人脸库，是相当好的学习东西(Digital image processing, pattern recognition, face recognition, including the procedures and a face database is very good to learn things)

说明：  通过matlab源码实现图像的最佳自动阈值分割，所选算法是常见的大津法(Matlab source code through the realization of the best automatic image thresholding, the selected algorithm is a common method of Otsu)

用fibonacci变换方法对图象做置乱或逆置乱，效率极高，在信息隐藏中属常用的方法之一。调用函数为f=fibonacci_t(I,r,s)，其中参数分别为I=被置乱的图像，r=置乱密钥，s=0置乱，s=1逆置乱(Fibonacci transformation method used to do on the image or inverse Scrambling Scrambling, high efficiency in the information hidden in one of the methods are commonly used. Call the function f = fibonacci_t (I, r, s), which parameters were I = have been scrambling the image, r = scrambling key, s = 0 Scrambling, s = 1 inverse Scrambling)

本文提出了一种基于数字图像轮廓特征的机械零件自动有 效识别的系统。利用工业摄像镜头代替目视作为一个传感器，经过光电转换、图 像采样、图像处理、图像分析识别等一系列的操作，就可以达到机械零件识别的 目的。(This paper presents a digital image based on the outline of the characteristics of mechanical parts automatically effective identification system. Utilization of industrial camera lens as a substitute for visual sensors, through photoelectric conversion, image sampling, image processing, image analysis to identify a series of operations to achieve the purpose of identification of mechanical parts.)

HBMA为基于块的分级匹配算法，是一种典型的运动估计算法，适用于特征追踪和运动估计(HBMA classification based on block matching algorithm is a typical motion estimation algorithm for feature tracking and motion estimation)