Contoller::Contoller(string virtualImg)
{
sofeState = SofeState::SS_BEFORE_INIT;
//配置参数
mdi.colorType = MicroDisplayInit::RGB;
mdi.width = 4096;
mdi.height = 1;
mdi.MaxPics = 11000;//采集多少帧图像
s = BufferStorage(mdi);
/*读取定标图片 定标*/
//BlocksDetector bd_Standard = BlocksDetector(cv::imread("A9划痕凹点_x3二值化.jpg"));
//bd_Standard.Start();
//bd_Standard.StartUP_DOWN(BlocksDetector::Up);
//bd_Standard.StartUP_DOWN(BlocksDetector::Down);
//bd_Standard.ABCD();
//Measurer m = Measurer(&bd_Standard, &mdi, 300, 600); //定标图片初始化
//cout << "定标完成" << endl;
if (virtualImg == "")
initForE2V();
else
initForVC(virtualImg);
//启动 启动器 进程
std::thread t_runner(std::mem_fn(&Contoller::RunnerThread), this);
t_runner.detach();
sofeState = SofeState::SS_INITED;
}
int _tmain(int argc, _TCHAR* argv[])
{
mdi.colorType = mdi.RGB;
mdi.width = 4096;
mdi.height = 1;
mdi.MaxPics = 11000;//采集多少帧图像
s_Standard = BufferStorage(mdi);
int tileCalibrationWidth = 300;
int tileCalibrationHeight = 600;
//cv::Mat pincushionCalibrationImg = cv::imread("PincushionDistortion.png");
//s_Standard.NowBufferImg = cv::imread("E14杂质二值化_x3.jpg");
//s.NowBufferImg = cv::imread("E9 A_x3二值化.jpg");
s_Standard.NowBufferImg = cv::imread("A9划痕凹点_x3二值化.jpg");
s.NowBufferImg = cv::imread("A14杂质_x3二值化.jpg");
double t = 0;
//瓷砖边缘检测
BlocksDetector bd_Standard = BlocksDetector(&s_Standard);
t = (double)cv::getTickCount();
bd_Standard.Start();
bd_Standard.StartUP_DOWN(BlocksDetector::Up);
bd_Standard.StartUP_DOWN(BlocksDetector::Down);
bd_Standard.ABCD();
t = ((double)cv::getTickCount() - t) / cv::getTickFrequency();
std::cout << "标准砖边缘检测时间：" << t << endl;
//#ifdef OUTPUT_DEBUG_INFO
// if (OUTPUT_DEBUG_INFO)
// {
// cv::imwrite("samples/00drowDebugDetectLR.jpg", bd_Standard.drowDebugDetectLR);
// cv::imwrite("samples/01drowDebugDetectUD.jpg", bd_Standard.drowDebugDetectUD);
// cv::imwrite("samples/02drowDebugResult.jpg", bd_Standard.drowDebugResult);
// }
//#endif
t = (double)cv::getTickCount();
Measurer m = Measurer(&bd_Standard, &mdi, tileCalibrationWidth, tileCalibrationHeight);
//pincushionCalibrationImg = cv::imread("PincushionDistortion实拍.jpg");
//m.PincushionCalibration(pincushionCalibrationImg);
//cv::Mat img2 = pincushionCalibrationImg.clone();
//m.PincushionImgAdjust(img2);
m.ObserveCalibration();
t = ((double)cv::getTickCount() - t) / cv::getTickFrequency();
std::cout << "初始化Measurer时间：" << t << endl;
std::cout << "标准砖标定完成" << t << endl;
t = (double)cv::getTickCount();
BlocksDetector bd2 = BlocksDetector(&s);
bd2.Start();
bd2.StartUP_DOWN(BlocksDetector::Up);
bd2.StartUP_DOWN(BlocksDetector::Down);
bd2.ABCD();
#ifdef OUTPUT_DEBUG_INFO
if (OUTPUT_DEBUG_INFO)
{
cv::imwrite("samples/00drowDebugDetectLR.jpg", bd2.drowDebugDetectLR);
cv::imwrite("samples/01drowDebugDetectUD.jpg", bd2.drowDebugDetectUD);
cv::imwrite("samples/02drowDebugResult.jpg", bd2.drowDebugResult);
}
#endif
t = ((double)cv::getTickCount() - t) / cv::getTickFrequency();
std::cout << "待测量砖边缘检测时间：" << t << endl;
t = (double)cv::getTickCount();
m.CaculteSize(&bd2);
t = ((double)cv::getTickCount() - t) / cv::getTickFrequency();
std::cout << "待测量砖尺寸测量时间：" << t << endl << endl << endl;
printf("瓷砖AB边长：%fpix，合计%f mm\r\n", m.AB_Len, m.AB_mm);
printf("瓷砖BC边长：%fpix，合计%f mm\r\n", m.BC_Len, m.BC_mm);
printf("瓷砖CD边长：%fpix，合计%f mm\r\n", m.CD_Len, m.CD_mm);
printf("瓷砖DA边长：%fpix，合计%f mm\r\n \r\n", m.DA_Len, m.DA_mm);
printf("瓷砖对角线AC：%fpix\r\n", m.AC_Len);
printf("瓷砖对角线BD：%fpix\r\n\r\n", m.BD_Len);
printf("∠A=%f°,∠B=%f°,∠C=%f°,∠D=%f°；\r\n\r\n", m.angleA, m.angleB, m.angleC, m.angleD);
return 0;
}