fftmiaosuzi

利用halcon mfc写了一个模板匹配demo，可以基于形状匹配，形状缩放匹配，灰度匹配对图像进行匹配

易语言图片按钮放大源码，易语言写的图形图像编程，很好的参考。(Easy language source code easy to picture button zoom, image language programming, a good reference.)

运动模糊图像的复原，涉及运动图像的模糊方向和模糊尺度的确定，然后运用维纳滤波(motion blur image recover)

一个师兄编写的图像配准程序，其中sift代码匹配以及错误点检测值得参考学习。(A brother write image registration procedures, which sift code matches the reference point of error detection is worth learning.)

DOG检测算子，能够构造高斯尺度空间，并检测其中的极值，从而得到有价值的特征点位置(DOG detection operator, the Gaussian scale space can be constructed, and tested one of the extremes, resulting in valuable feature position)

基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理 (Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixels, that is, to converge to the same point as a starting point to the category and then assigned to this type of labeling of these starting points, at the same time to contain too few pixels to remove the category. Then, using thresholding segmentation method of binary image processing)

相位接包裹程序，可以对相位进行展开，简单，展开速度快(Phase then wrapped procedures can start phase, simple, fast start)

控制测量是测绘专业的基础课程，这个课件是武汉大学老师编的课件，很实用(Control measurements are mapping the professional foundation courses, this courseware is Wuhan University teachers series courseware, very practical)

基于多相结构的信道化接收机，sar图像去噪的几种新的方法，小波包分析提取振动信号中的特征频率。( Channelized receiver based on multi-phase structure, Several new methods sar image denoising, Wavelet packet analysis to extract vibration signal characteristic frequency.)

视觉测量中编码点与非编码点的匹配的方法实现(Vision measuring, coding point and the coding point matching )