用Opencv做的一个针对“别踩白块”游戏的自动点击简单工具

原理：使用Opencv截屏提取取ROI区域，并定位黑块的的位置并计算中心坐标，同时将坐标传递给鼠标，实现自动快速点击黑块，速度最高跑到了15到16之间，世界最快是17.9

效果如下：

#define _CRT_SECURE_NO_WARNINGS
#define _AFXDLL
#include  
#include  
#include 
#include 
#include using namespace cv;
using namespace std;#define KEY_DOWN(VK_NONAME) ((GetAsyncKeyState(VK_NONAME) & 0x8000) ? 1:0) void Screen();
BOOL HBitmapToMat(HBITMAP& _hBmp, Mat& _mat);
HBITMAP	hBmp;
HBITMAP	hOld;
int g_nWidth = 0;
int g_nHeight = 0;
bool isFirst = true;
//抓取当前屏幕函数
void Screen()
{//创建画板HDC hScreen = CreateDC("DISPLAY", NULL, NULL, NULL);HDC	hCompDC = CreateCompatibleDC(hScreen);//取屏幕宽度和高度/*g_nWidth = GetSystemMetrics(SM_CXSCREEN);g_nHeight = GetSystemMetrics(SM_CYSCREEN);*/g_nWidth = 310;g_nHeight = 550;//创建Bitmap对象hBmp = CreateCompatibleBitmap(hScreen, g_nWidth, g_nHeight);hOld = (HBITMAP)SelectObject(hCompDC, hBmp);BitBlt(hCompDC, 0, 0, g_nWidth, g_nHeight, hScreen, 0, 0, SRCCOPY);SelectObject(hCompDC, hOld);//释放对象DeleteDC(hScreen);DeleteDC(hCompDC);
}//把HBITMAP型转成Mat型
BOOL HBitmapToMat(HBITMAP& _hBmp, Mat& _mat)
{//BITMAP操作BITMAP bmp;GetObject(_hBmp, sizeof(BITMAP), &bmp);int nChannels = bmp.bmBitsPixel == 1 ? 1 : bmp.bmBitsPixel / 8;int depth = bmp.bmBitsPixel == 1 ? IPL_DEPTH_1U : IPL_DEPTH_8U;//mat操作Mat v_mat;v_mat.create(cvSize(bmp.bmWidth, bmp.bmHeight), CV_MAKETYPE(CV_8U, nChannels));GetBitmapBits(_hBmp, bmp.bmHeight*bmp.bmWidth*nChannels, v_mat.data);_mat = v_mat;return TRUE;
}void MouseEvent(int x, int y)
{SetCursorPos(x, y);mouse_event(MOUSEEVENTF_LEFTDOWN, 0, 0, 0, 0);Sleep(10);//要留给某些应用的反应时间   mouse_event(MOUSEEVENTF_LEFTUP, 0, 0, 0, 0);
}void BeginDetection(Mat &src)
{Mat Green;Green = src(Rect(0, 0, 310, 420));threshold(Green, Green, 240, 255, 0);Mat element = getStructuringElement(MORPH_RECT, Size(3, 3), Point(-1, -1));dilate(Green, Green, element);vector> contours;findContours(Green, contours, CV_RETR_LIST, CV_CHAIN_APPROX_NONE);Mat image_binary = Mat::zeros(Green.size(), CV_8UC1);drawContours(image_binary, contours, -1, Scalar::all(255), 0);vector>::iterator itr = contours.begin();int num = 0;while (itr != contours.end()){double area = itr->size();if (area < 110 || area > 200){itr = contours.erase(itr);}else{itr++;}num++;}Mat image_binary2 = Mat::zeros(Green.size(), CV_8UC1);drawContours(image_binary2, contours, -1, Scalar::all(255), CV_FILLED);//imwrite("..\\public\\TestImages\\111.jpg", image_binary2);vector>::iterator itr2 = contours.begin();int x[3] = { 0 };int y[3] = { 0 };for (int i = 0; i < contours.size(); i++){RotatedRect rect = minAreaRect(contours[i]);x[i] = rect.center.x;y[i] = rect.center.y;}/*int m_x = (x[1] + x[2]) / 2;int m_y = (y[1] + y[2]) / 2;*/int m_x = x[0];int m_y = y[0];cout << "m_x：" << m_x << endl;cout << "m_y：" << m_y << endl;if (m_x != 0){MouseEvent(m_x, m_y);isFirst = false;}
}//模拟器分辨率要求：300*500
void main()
{Sleep(5000);//cout << "开始" << endl;int iCount = 0;while (iCount < 100000){Mat src, dst;//屏幕截图Screen();//类型转换HBitmapToMat(hBmp, src);resize(src, dst, cvSize(g_nWidth*1, g_nHeight*1), 0, 0);//算法部分Mat channels[4];split(dst, channels);if (isFirst){BeginDetection(channels[1]);}//cout << "下一步" << endl;cvtColor(dst, dst, CV_BGR2GRAY);threshold(dst, dst, 10, 255, 1);Mat element = getStructuringElement(MORPH_RECT, Size(10, 10), Point(-1, -1));erode(dst, dst, element);vector> contours;findContours(dst, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);Mat image_binary = Mat::zeros(dst.size(), CV_8UC1);drawContours(image_binary, contours, -1, Scalar::all(255), CV_FILLED);//cout << "轮廓数：" << contours.size() << endl;vector>::iterator itr = contours.begin();int num = 0;while (itr != contours.end()){double area = itr->size();if (area < 250){itr = contours.erase(itr);}else{itr++;}num++;}Mat image_binary2 = Mat::zeros(dst.size(), CV_8UC1);drawContours(image_binary2, contours, -1, Scalar::all(255), CV_FILLED);vector>::iterator itr2 = contours.begin();for (int i = 0; i < contours.size(); i++){Sleep(20);RotatedRect rect = minAreaRect(contours[i]);MouseEvent(rect.center.x, rect.center.y);}if (KEY_DOWN('Q')){//退出return;}//char *file = new char[100];//sprintf(file, "..\\public\\images\\%d.jpg", iCount);//cout << file << endl;//imwrite(file, src);//waitKey(0);//imwrite("..\\public\\TestImages\\111.jpg", image_binary2);DeleteObject(hBmp);iCount++;Sleep(5);}
} 

参考链接：

https://blog.csdn.net/qq_18984151/article/details/79231953

https://blog.csdn.net/qq_35409640/article/details/75212236

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