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VisualC++数字图像处理技术详解第2版光盘-第八章 分水岭分割算法(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter VIII watershed segmentation)

说明：  编程实现对bmp图像最大值，最小值，标准差，熵，各灰度值频率的计算(Programming to calculate the maximum value, minimum value, standard deviation, entropy and gray value frequency of BMP image)

vc++图像处理原程序：图片亮度增减源代码(vc original image processing procedures : Photo brightness change source code)

该代码采用opencv环境来实现灰度投影估计电子稳像算法，能够很好地解决视频序列抖动问题。(The code uses the opencv environment to achieve the gray projection algorithm, which can solve the problem of video sequence jitter.)

此程序实现二十四位BMP到八位BMP图像的转换(this program to 24 BMP eight BMP image conversion)

说明：  自己写的位图三态按钮还添加了按钮声音,对自己制作图形界面有很大帮助(Write your own bitmap three-state buttons to add the button sounds right to produce their own graphical interface helps a lot)

Visual C++ 6.0，基于opencv，MFC框架下开发，一个具有视频交互功能的桌面程序，功能类似于例程“Computer Vision Virtual Buttons”，能够实现基于视频交互的虚拟按钮的触发，(Visual C++ 6.0, based on opencv, MFC framework of development, a video interactive features of desktop applications, functions similar to the routine " Computer Vision Virtual Buttons" , to video-based interactive virtual button, trigger,)

说明：  最二小乘影像匹配，精度可以达到0.01个像素，也可以最二小乘影像模板匹配。经过修改后可以直接用，只要调用一个函数就搞定，函数参数的说明很清楚，绝对不会有任何困难，非常好用。(Most two Theravada image matching accuracy can reach 0.01 pixel images can also be the most two Theravada template matching. After modifications can be directly used, as long as is you call a function, function parameters, the description is clear and will not have any difficulties, very easy to use.)

先对图像进行DCT变化再进行水印嵌入，用于图像加密，保护版权，在版权保护方面有较大的用途。(Digital Watermarking DCTembed)

采用了Harrtraining和离子滤波算法实现了拥挤人群人头计数，非常有用。VC++和Opencv开发，采用Oepncv中的Harrtraining训练一个分类器即可运行(Human detection and tracking in high density crowds is an unsolved problem. Standard preprocessing techniques such as background modeling fail when most of the scene is in motion. We integrate human detection and tracking into a single framework, and in- troduce a conrmation-by-classication method to estimate condence in a tracked trajectory, track humans through occlusions, and eliminate false positive detections.)