opencv如何实现【不用全局变量进行滚动条控制】

opencv中自带滚动条，其中一个问题是该回调函数（on_trackbar）大多使用的是全局变量，大型项目调试时弊端众多，比如下图：

为此，留意了void on_Trackbar(int par1, void *)中的第二个参数，

按理说，这是允许用户传递参数进入的，但网上及书籍中未找到不用全局变量而自己传参数的例子，因此特意写了一版可以自己传局部参数的写法。

代码如下：

 #include <opencv2/opencv.hpp>

 namespace ycv {
 #include<iostream>
     class Win {
     public:
         Win(std::string name, int type);
         void imshow(cv::Mat &img);
         std::string getName();
     private:
         std::string name;
     };
 }
 namespace ycv {
     Win::Win(std::string name, int type) {
         this->name = name;
         cv::namedWindow(this->name, type);
     }
     void Win::imshow(cv::Mat &img) {
         cv::imshow(this->name, img);
     }
     std::string Win::getName() {
         return this->name;
     }
 }

 void on_Trackbar1(int par, void *pvoid)
 {
     static void *p0 = (void*)(*( + ((int*)pvoid)));
     static void *p1 = (void*)(*( + ((int*)pvoid)));
     static void *p2 = (void*)(*( + ((int*)pvoid)));
     static void *p3 = (void*)(*( + ((int*)pvoid)));
     static void *p4 = (void*)(*( + ((int*)pvoid)));
     ycv::Win *win = (ycv::Win*)p0;
     cv::Mat *mgray = (cv::Mat*)p1;
     cv::Mat *mbin = (cv::Mat*)p2;
     int *bs = (int*)p3;
     int *value = (int*)p4;
     *bs = par;//diff
     adaptiveThreshold(*mgray, *mbin, ,
         cv::ADAPTIVE_THRESH_MEAN_C, cv::THRESH_BINARY,
         *bs = (*bs >  ? ((*bs) %  ==  ? *bs : *bs + ) : ),
         *value);
     win->imshow(*mbin);
 }
 void on_Trackbar2(int par, void *pvoid)
 {
     static void *p0 = (void*)(*( + ((int*)pvoid)));
     static void *p1 = (void*)(*( + ((int*)pvoid)));
     static void *p2 = (void*)(*( + ((int*)pvoid)));
     static void *p3 = (void*)(*( + ((int*)pvoid)));
     static void *p4 = (void*)(*( + ((int*)pvoid)));
     ycv::Win *win = (ycv::Win*)p0;
     cv::Mat *mgray = (cv::Mat*)p1;
     cv::Mat *mbin = (cv::Mat*)p2;
     int *bs = (int*)p3;
     int *value = (int*)p4;
     *value = par;//diff
     adaptiveThreshold(*mgray, *mbin, ,
         cv::ADAPTIVE_THRESH_MEAN_C, cv::THRESH_BINARY,
         *bs = (*bs >  ? ((*bs) %  ==  ? *bs : *bs + ) : ),
         *value);
     win->imshow(*mbin);
 }
 void on_Trackbar3(int par, void *pvoid)
 {
     static void *p0 = (void*)(*( + ((int*)pvoid)));
     static void *p1 = (void*)(*( + ((int*)pvoid)));
     static void *p2 = (void*)(*( + ((int*)pvoid)));
     static void *p3 = (void*)(*( + ((int*)pvoid)));
     static void *p4 = (void*)(*( + ((int*)pvoid)));
     ycv::Win *win = (ycv::Win*)p0;
     cv::Mat *mgray = (cv::Mat*)p1;
     cv::Mat *mbin = (cv::Mat*)p2;
     int *bs = (int*)p3;
     int *value = (int*)p4;
     *value = par;//dif
     threshold(*mgray, *mbin, *value, , cv::THRESH_BINARY);
     win->imshow(*mbin);
 }
 int main(int argc, char** argv)
 {
     //读取图片、创建窗口
     ycv::Win w1 = ycv::Win("窗口1", CV_WINDOW_NORMAL);
     cv::Mat mgray = cv::imread("out1.jpg");
     cv::Mat mbin;
     if (!mgray.data) {
         std::cout << "read error\n" << std::endl;
         return -;
     }

 #if 1 //转换为HSV空间
     cvtColor(mgray, mgray, CV_BGR2HSV);
 #endif

 #if 1 //分离通道
     std::vector<cv::Mat> sbgr(mgray.channels());
     split(mgray, sbgr);
 #endif

 #if 0 //合并通道
     std::vector<cv::Mat> mbgr(mgray.channels());
     mbgr[] = sbgr[];//or sbgr.at(2);
     mbgr[] = sbgr[];
     mbgr[] = sbgr[];
     merge(mbgr, mgray);
 #endif

 #if 0 //灰度化
     cvtColor(mgray, mgray, CV_BGR2GRAY);
 #endif

     mgray = sbgr[];

     int bs = ;
     int value = ;
     int *p[];
     p[] = (int*)&w1;
     p[] = (int*)&mgray;
     p[] = (int*)&mbin;
     p[] = (int*)&bs;
     p[] = (int*)&value;
 #if 0 //OSTU法
     cv::threshold(mgray, mbin, , , cv::THRESH_BINARY | cv::THRESH_OTSU);//thresh is not setted manually
     w1.imshow(mbin);
 #elif 0 //自适应二值化
     cv::createTrackbar("滑动条1", w1.getName(), &bs, , on_Trackbar1,p);//多个滚动条，需要指明用户参数
     cv::createTrackbar("滑动条2", w1.getName(), &value, , on_Trackbar2);
     on_Trackbar2(bs, p);//显示调用一次，避免未进入之前画面无法显示
 #else //固定二值化
     cv::createTrackbar("滚动条3", w1.getName(), &value, , on_Trackbar3);//单个滚动条，可以不指明用户参数，通过下面的显示调用来指明
     on_Trackbar3(value, p);
 #endif
     cv::waitKey();
     return ;
 }