Digital_image_processing_frequency_domain

最新版完整模拟QQ截屏的VB源代码，支持截图编辑（可以再截图中画矩形、椎园、文本、箭头）；带撤销，重做功能，可以说一点都不比QQ截屏逊色！(The latest version integrity imitates a QQ piece the VB source for hold a code and support cuts diagram editor (can cut again in the diagram draw rectangle, Zhui park, text originally, arrowhead)Take to cancel, do over function, can say at 1:00 an all unlike QQ piece to hold inferior to!)

我写的贝叶斯fusion的Visual C+++源码，简明易懂，提供参数说明 可直接使用。 (The Bayesian fusion the Visual C+++ of what I wrote source, easy-to-understand parameters can be used directly.)

特征点匹配时，采用构造KD-tree，用最优节点优先法寻找最佳匹配点(Matching feature points, the tectonic KD-tree, with the optimal node is preferred method to search for the optimal matching point)

实现一些图像的编辑功能，比如图像的打开，关闭，新建，删除，反转，等一些功能(Implement some image editing features, such as the image open, close, create, delete, reverse, and some other functions)

Tsai标定算法，用用于图像标定的，可以使用 (Tsai calibration algorithm used for image calibration, you can use)

暗通道去雾代码，使用c++实现 根据cvpr论文改写(Channel code to the dark fog)

这是一个从两个以知的参考视点的彩色图和深度图来合成一个虚拟视点的彩色图和深度图的程序。(This is one of the two known reference to the viewpoint of the color and depth charts to synthesize a virtual viewpoint of color and depth charts of the program.)

基于轮廓来寻找流动部分，效果不是很好，但是还可以拿来用(Based on the outline to find the flow part, the effect is not very good, but also can be used with)

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.)

VisualC++数字图像处理技术详解第2版-光盘 第九章(VisualC++ digital image processing technology Detailed Version 2- CD Chapter IX)