imagejiansuo

用VC++视觉检测程序，可以打开PCB板的照片文件，对其进行编辑、点运算、几何变换、正交变换、图像增强、形态变换、边缘与轮 廓检测、图像分析与复原、图像编码等功能。其中点运算包括图像反色、线性变换、阀值变换等功能；边缘检测包括Robert算子、 Sobel算子、Gauss-Laplace算子等；正交变换包括傅里叶变换、离散余弦变换、沃尔什变换；图像编码包括哈弗曼编码表、香农弗 曼编码表、行程编码、LZW编码等。 对于研究电子封装技术，视觉检测及电机精确控制的同学学习参考使用。(visual detecting for PCB.rar)

边缘检测与提取，轮廓跟踪 注意事项： 运行时，文件c: est.bmp必须存在(Edge detection and extraction, contour tracing Note: run-time, file c: test.bmp must exist)

图像变形处理程序，VC2013+opencv实现，利用三种差之方法扭曲变形( Image deformation processing program, VC2013+ opencv realized the difference between using three methods distorted)

说明：  详细介绍了多普勒天气雷达系统建模与仿真应用 (Details of the Doppler Weather Radar System Modeling and Simulation Application)

二维码PDF417编码和解码的源代码,可将它们修改后做成匹配的编码和解码对。(The source code of two-dimensional barcode PDF417 encoding and decoding, they can be modified to become a matched encoding and decoding. )

说明：  实现了图像的打开功能，并能实现图像打开时的扫描，渐进，马赛克等功能(To realize the image of the open function, and can achieve image scans open, progressive, mosaic and other functions)

数字图像处理诸多算法源代码，图像处理的同学可以下载下来看看，适合初学者。(c++ code of digital image process )

MRF代码实现,visual C++ 代码，不错，可以尝试(an implementation of MRF)

基于遗传模拟退火和Otsu法的图像分割。采用一种基于模拟退火算法(SA)的混合遗传算法(GASA),来进行Otsu方法选择阈值，其中进行求解时是非线性的遗传算法（GA）的应用优化了求阈值过程，并尽可能地减少其运算量,而加入SA则避免了遗传算法(GA)常见的早熟收敛现象,从而实现有效简单的图像分割。 (adopt hybrid genetic algorithm(GASA) based on simulated annealing algorithm,choose threshold by Ostu method,which applicated the non-linear genetic algorithm(GA) allows us to optimize the process of threshold. And, where possible, to reduce the computation. in order to achieve effectivly and simply image segmentation. Combination SA is to avoid the common phenomenon about premature convergence in genetic algorithm (GA) to achieve a simple and effective image segmentation.)

零相位带通滤波源代码,可以对信号进行滤波处理提高信噪比.(Zero-phase band-pass filtering the source code, you can filter the signal-noise ratio improve treatment.)