fenshuiling

设置位置断点跟踪程序，VC++精选编程源码，很好的参考资料。(Set breakpoint location tracking procedures, VC++ programming source code, a good reference.)

图像匹配，在一副图象中搜寻子图像，寻找特征点(Image matching, in a sub-image search images to find the feature points)

说明：  用matlab编写的不错的运动目标检测的源程序(Matlab prepared with a good source of moving target detection)

说明：  matlab下面立体匹配和光流场计算代码，希望能对大家有所帮助。(matlab the following three-dimensional matching and optical flow field calculation code, hoping to be helpful to everyone.)

说明：  脉冲压缩技术是匹配滤波理论和相关接收理论的一个很好的实际应用。它的提出很好的解决了这样的一个问题：在发射端发射大时宽、带宽信号，以提高信号的速度测量精度和速度分辨力，而在接收端，将宽脉冲信号压缩为窄脉冲，以提高雷达对目标的距离分辨精度和距离分辨力(Pulse compression technology is a good practical application of matched filtering theory and related receiving theory. It solves such a problem very well: transmitting large time-width and bandwidth signals at the transmitter to improve the speed measurement accuracy and speed resolution of the signal, and compressing the wide pulse signal into narrow pulse at the receiver to improve the range resolution accuracy and range resolution of radar to target.)

很好的mATLAB代码，利用最大交叉熵，确定迭代次数，完成pcnn脉冲耦合神经网络的图像分割，效果很好(MATLAB good code,the use of maximum cross entropy, determine the number of iterations, complete PCNN image segmentation,result is good.)

读入光流估计的结果，将运动矢量转化成颜色，生成颜色的光流估计图像。(Read optical flow estimation result, the color motion vector conversion, optical flow estimation to generate a color image.)

c++语言或MATLAB编程对256×256的灰度图像进行8×8DCT变换，对变换后的结果进行处理： 采用区域编码和阈值编码方法实现图像压缩，保留 50％ 的系数(区域编码保留前 50%个系数，阈值编码保留 50%的大系数）； 再反变换后，对比原始图像和处理后的图像。(C++ or MATLAB programming performs 8 * 8DCT transform on 256 * 256 grayscale images, processing the transformed results: The region coding and threshold coding are used to compress the image, and the coefficient of 50% is retained (the first 50% coefficients are reserved for the region code and the large coefficient of the threshold code is retained by 50%). After inverse transformation, the original image and the processed image are compared.)

图像拼接：实现两幅具有重叠区域的图像的拼接；使用MFC框架，内有程序使用文档(image mosaicing)

用PYQT进行GUI的详细资料，可以对照参考。。。。。。(The detailed information of GUI with PYQT can be compared to reference. The detailed information of GUI with PYQT can be compared to reference.)