opencv -Camera曝光設置

1、曝光設置

cv_cap.set(cv::CAP_PROP_AUTO_EXPOSURE, 0.25); // where 0.25 means "manual exposure, manual iris"cv_cap.set(CV_CAP_PROP_EXPOSURE, -13);

2、設置自動曝光為手動曝光

cv_cap.set(cv::CAP_PROP_AUTO_EXPOSURE, 0.25); // where 0.25 means "manual exposure, manual iris"

3、曝光參數具體對應于曝光時間

OpenCV_exposure	快門時間ms
-1	640
-2	320
-3	160
-4	80
-5	40
-6	20
-7	10
-8	5
-9	2.5
-10	1.25
-11	0.625
-12	0.3125
-13	0.15625
-14	0.078125

說明：x為opencv中設置的曝光值OpenCV_exposure

? ? ? ? ? ?y為快門時間

4、代碼實現：

void cameExposureTestAndExposureFusionTest(VideoCapture cap) {int ix = 0;int numImages = 4;Mat frame;vector<Mat> images;//是否圖像映射bool needsAlignment = true;//cap.set()auto i = cap.get(CAP_PROP_EXPOSURE);cout << "設置之前曝光為：" << i << endl;cap.set(CAP_PROP_AUTO_EXPOSURE, 0.25);while (waitKey(30) != 27){ /*int 循環調節 = -13;while (1){if (循環調節 == 0){循環調節 = -13;break;}//cout << "設置之后曝光為：" << cap.get(CAP_PROP_EXPOSURE);cap.set(CAP_PROP_EXPOSURE, 循環調節);//cout << "設置之后曝光為：" << cap.get(CAP_PROP_EXPOSURE)<<endl;cap >> frame;putText(frame, "Exposure:" + to_string(循環調節), Point(20, 30), 3, 1.0, Scalar(255, 0, 0));imshow("調用攝像頭", frame);imwrite("E:\\Project_OpenCV_C++\\openCV_Test1\\openCV_Test3\\cameExposureTest\\" + to_string(循環調節) + ".jpg", frame);waitKey(30);images.push_back(frame);循環調節= 循環調節+1;} */vector<float> times;// 曝光時間列表const float timesArray[] = { 1 / 30.0f,0.25,2.5,15.0 };times.assign(timesArray, timesArray + numImages);// 曝光值列表float OpenCV_exposure[] = {NULL };//這里將快門時間轉換成OpenCV的曝光參數for (ix = 0; ix < 4; ix++){OpenCV_exposure[ix] = -(log(640 / (timesArray[ix]*1000) ) + 1);}for (ix=0; ix<4; ix++){cap.set(CAP_PROP_EXPOSURE, OpenCV_exposure[ix]);cap >> frame;imshow("調用攝像頭", frame);imwrite("E:\\Project_OpenCV_C++\\openCV_Test1\\openCV_Test3\\cameExposureTest\\" + to_string(ix) + ".jpg", frame);waitKey(30);images.push_back(frame);}// Align input imagesif (needsAlignment){cout << "Aligning images ... " << endl;Ptr<AlignMTB> alignMTB = createAlignMTB();alignMTB->process(images, images);}else{cout << "Skipping alignment ... " << endl;}// 獲取圖像響應函數 (CRF)Mat responseDebevec;Ptr<CalibrateDebevec> calibrateDebevec = createCalibrateDebevec();calibrateDebevec->process(images, responseDebevec, times);// Merge using Exposure Fusion 圖像融合cout << "Merging using Exposure Fusion ... " << endl;Mat exposureFusion;Ptr<MergeMertens> mergeMertens = createMergeMertens();mergeMertens->process(images, exposureFusion);imwrite("E:\\Project_OpenCV_C++\\openCV_Test1\\openCV_Test3\\cameExposureTestAndExposureFusionTest\\exposure-fusion.jpg", exposureFusion*255);// 將圖像合并為HDR線性圖像Mat hdrDebevec;Ptr<MergeDebevec> mergeDebevec = createMergeDebevec();mergeDebevec->process(images, hdrDebevec, times, responseDebevec);// 保存圖像imwrite("E:\\Project_OpenCV_C++\\openCV_Test1\\openCV_Test3\\cameExposureTestAndExposureFusionTest\\hdrDebevec.hdr", hdrDebevec);// 使用Drago色調映射算法獲得24位彩色圖像Mat ldrDrago;Ptr<TonemapDrago> tonemapDrago = createTonemapDrago(1.0, 0.7);tonemapDrago->process(hdrDebevec, ldrDrago);ldrDrago = 3 * ldrDrago;imwrite("E:\\Project_OpenCV_C++\\openCV_Test1\\openCV_Test3\\cameExposureTestAndExposureFusionTest\\ldr-Drago.jpg", ldrDrago * 255);// 使用Durand色調映射算法獲得24位彩色圖像 /*Mat ldrDurand;Ptr<TonemapDurand> tonemapDurand = createTonemapDurand(1.5, 4, 1.0, 1, 1);tonemapDurand->process(hdrDebevec, ldrDurand);ldrDurand = 3 * ldrDurand;imwrite("E:\\Project_OpenCV_C++\\openCV_Test1\\openCV_Test3\\cameExposureTestAndExposureFusionTest\\ldr-Durand.jpg", ldrDurand * 255); */// 使用Reinhard色調映射算法獲得24位彩色圖像Mat ldrReinhard;Ptr<TonemapReinhard> tonemapReinhard = createTonemapReinhard(1.5, 0, 0, 0);tonemapReinhard->process(hdrDebevec, ldrReinhard);imwrite("E:\\Project_OpenCV_C++\\openCV_Test1\\openCV_Test3\\cameExposureTestAndExposureFusionTest\\ldr-Reinhard.jpg", ldrReinhard * 255);// 使用Mantiuk色調映射算法獲得24位彩色圖像Mat ldrMantiuk;Ptr<TonemapMantiuk> tonemapMantiuk = createTonemapMantiuk(2.2, 0.85, 1.2);tonemapMantiuk->process(hdrDebevec, ldrMantiuk);ldrMantiuk = 3 * ldrMantiuk;imwrite("ldr-Mantiuk.jpg", ldrMantiuk * 255);imwrite("E:\\Project_OpenCV_C++\\openCV_Test1\\openCV_Test3\\cameExposureTestAndExposureFusionTest\\ldr-Mantiuk.jpg", ldrMantiuk * 255);images.clear();}return; }

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