CZT

Visual C++数字图像处理技术与工程案例，各章节源代码，这是第一章的代码(The Visual C++ digital image processing technology and engineering cases, the source code of each chapter, this is the first chapter of the code)

刚体配准方法中，通常使用互信息函数作为相似性测度，此类提供计算的封装。(rigid registration method, which is commonly used as a mutual information function similar measure, the provision of such calculation package.)

根据论文Harris C. A combined corner and edge detector[J]. Proc Alvey Vision Conf, 1988, 1988(3):147-151实现Harris角点检测(Harris corner detection)

Matlab time-frequency analysis supporting the source code of chapter 12, please share

此程序采用vc++6.0编写,可以实现4路视频采集,压缩以及编码(编码算法包括mpeg2),采用的采集卡是天敏vc4000,利用回调函数作为采集的主要手段 另外提供网络传输的服务端程序(This program uses a vc + +6.0 preparation, can achieve 4-channel video capture, compression and encoding (encoding algorithm including mpeg2), using capture card is Mortimer vc4000, use the callback function as the primary means of collection additionally provides end network transport services program)

WPF控件集

实现“动态”的位图动画，VC++经典编程学习源码，很好的参考资料。(The realization of "dynamic" bitmap animation, VC++ classic learning programming source code, a good reference.)

针对万工显螺旋显微镜视场图像特点，编写了Matlab 语言的图像处理算法用于万工显自动读数( The program which is developed by MATLAB language can be used for auto-reading of universal tools microscope measurement result)

根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)

高斯平滑滤波实例，高斯滤波实质上是一种信号的滤波器，其用途是信号的平滑处理，我们知道数字图像用于后期应用，其噪声是最大的问题，，由于误差会累计传递等原因，很多图像处理教材会在很早的时候介绍Gauss滤波器，用于得到信噪比SNR较高的图像（反应真实信号）。 (Instance of the Gaussian smoothing filter, Gaussian filter is essentially a signal filter, its purpose is to smooth processing of the signal, we know that the digital image for the late application, the noise is the biggest problem, the error accumulated transfer reason, a lot of image processing textbooks will be introduced at an early Gauss filter for higher SNR of the image (real response signal).)