matlab2envi

对图像进行细化，本实验的细化对象是一组指纹二值图。(Image refinement, the refinement of the experimental object is a set of fingerprint binary image.)

基于MATLAB图像处理的车辆检测与识别，很基础的，入门(moving detect)

图像配准，利用互相关的方法进行图像配准，能达到良好效果(Image registration, the use of the cross-correlation method of image registration, and can achieve good results)

提出一种基于小波变换的图像配准方法。该方法首先用小波变换提取边缘特征点, 同时构成小波金字塔影像。在最高层利 用角度相关系数确定基准图像和配准图像之间的旋转角度, 经多分辨分级搜索匹配得到最终匹配特征点对, 利用这些特征点对待 配准图像进行配准纠正。实验结果表明, 改进方法有较好的效果, 可用于广泛应用领域。(Proposed a wavelet-based image registration method. In this method, using wavelet transform to extract the edge feature points, the same time constitute wavelet pyramid image. Point at the highest level the correlation coefficient using the baseline image registration between image and the angle of rotation, the multi-resolution hierarchical searching and matching features of the final match point, the use of these features point towards registration image registration correction. Experimental results show that the improved method has better results, can be used for wide range of applications.)

ENVI格式多光谱数据批量求平均值并保存成tif格式文件输出(Batch average of ENVI multispectral data and save it as TIF file output)

CCD工作原理教程 图像传感器原理介绍（CCD和CMOS介绍）(CCD image sensor principle works tutorial introduction (CCD and CMOS description))

方向加速法（Powell）是一种直接法，不用计算目标函数的梯度，仅通过比较目标函数的数值大小来移动迭代点就可以求出极值。(Powell use for registration)

说明：  提取亚像素精度的中心线的线检测算法，适用于线结构光的中心提取(Line detection algorithm for extracting sub-pixel centerline is suitable for extracting the centerline of line structured light.)

直接线性变换DLT，直接由像平面坐标到地面空间坐标的直接变换，可用于量测相机，非量测相机（本人用的是 高速相机）。配合前方交会验证l系数的准确与否。以DLT得到的结果为初值，用光束法平差可以期望得到更高精度。是数字摄影测量课程作业的例子。(Direct linear transformation DLT, and the direct conversion of coordinates directly from the image plane to the ground space coordinates, the camera can be used for measuring the non-measurement camera (I use a high-speed camera). Tie the forward intersection verify l coefficient accurate or not. To the the DLT results obtained for the initial value, bundle adjustment can expect greater accuracy. Examples of digital photogrammetry course work.)

图像分割方法，用区域生长，然后进行区域合并，把较小的区域合在一起，效果比较好(image segmation)