Project_report

将一副图像进行压缩并重现，使用dct测量矩阵，高斯随机矩阵，omp恢复算法(A pair of images were compressed and reproduce, using DCT measurement matrix, Gauss random matrix, OMP recovery algorithm)

代码使用全相位双正交变换（APBT）稀疏表示图像，主函数为test.(The code uses the all phase biorthogonal transform (APBT) sparse representation of the image, the main function for the test.)

基于蚁群算法的图像边缘检测，将蚁群算法应用于边缘检测,提出了一种图像边缘检测的新方法，具有很大的创新性，最主要是可以仿真，供本研究方向的人参考( Image Edge Detection based on ant colony algorithm)

本源代码是自己编写的关于图像小目标的检测（matlab版），其中包括对不同对比度、信噪比下的图像小目标进行检测。(The source code is written about the image of his small target detection (matlab edition), including the different contrast, signal-to-noise ratio of image detect small targets.)

图像颜色一阶矩、二阶矩、三阶矩特征抽取。不带图像分块。(Image color first moment, second moment and three moments features)

中值滤波是一种非线性数字滤波器技术，经常用于去除图像或者其它信号中的噪声

使用区域生长法对灰度图像进行分割，显示原图及分割后的图像(Region growing method using gray-scale image segmentation, image display artwork and divided)

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.)

本代码建立高斯混合模型(高斯多模型)(GMM)，将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。(This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual object detection(video object detection), visual surveillance, motion detection, motion tracking, visual object tracking, video object tracking, etc.)

说明：  压缩文件中的代码可以读取图片并计算绿色植被的归一化植被指数，直接在IDL中打开即可使用(The code in the compressed file can read pictures and calculate the normalized vegetation index of green vegetation,and you can open it directly in IDL and use it.)