opencv中与split()与merge()的问题

错误：opencv文档中的core，“与opencv1同时使用“的例程，运行时报内存访问冲突的错误。 如图：

原因是由于vector<Mat>planes;容器planes为空，与I_YUV不符合，可以改为Mat planes[3]。

改后marge需要输入三个参数，输入矩阵，输入矩阵个数，输出矩阵

即：把merge(planes, I_YUV);改为merge(planes,3, I_YUV);

修改之后的代码：

#include<opencv2/opencv.hpp>#include<stdlib.h>#include<iostream>using namespace std;using namespace cv;static void help(char* progName){cout << endl << progName<< " shows how to use cv::Mat and IplImages together (converting back and forth)." << endl<< "Also contains example for image read, spliting the planes, merging back and " << endl<< " color conversion, plus iterating through pixels. " << endl<< "Usage:" << endl<< progName << " [image-name Default: ../data/lena.jpg]" << endl << endl;}//! [start]// comment out the define to use only the latest C++ API#define DEMO_MIXED_API_USE#ifdef DEMO_MIXED_API_USE#  include <opencv2/highgui/highgui_c.h>#  include <opencv2/imgcodecs/imgcodecs_c.h>#endifint main(int argc, char** argv){help(argv[0]);const char* imagename =  "DSC_2257.JPG";#ifdef DEMO_MIXED_API_USEPtr<IplImage> IplI(cvLoadImage(imagename));      // Ptr<T> is a safe ref-counting pointer classif (!IplI){cerr << "Can not load image " << imagename << endl;return -1;}Mat I = cv::cvarrToMat(IplI); // Convert to the new style container. Only header created. Image not copied.#elseMat I = imread(imagename);        // the newer cvLoadImage alternative, MATLAB-style functionif (I.empty())                   // same as if( !I.data ){cerr << "Can not load image " << imagename << endl;return -1;}#endif//! [start]//! [new]// convert image to YUV color space. The output image will be created automatically.Mat I_YUV;cvtColor(I, I_YUV, COLOR_BGR2YCrCb);Mat planes[3];    // Use the STL's vector structure to store multiple Mat objectssplit(I_YUV, planes);  // split the image into separate color planes (Y U V)   //! [new]#if 1 // change it to 0 if you want to see a blurred and noisy version of this processing   //! [scanning]   // Mat scanning   // Method 1. process Y plane using an iteratorMatIterator_<uchar> it = planes[0].begin<uchar>(), it_end = planes[0].end<uchar>();for (; it != it_end; ++it){double v = *it * 1.7 + rand() % 21 - 10;*it = saturate_cast<uchar>(v*v / 255);}for (int y = 0; y < I_YUV.rows; y++){// Method 2. process the first chroma plane using pre-stored row pointer.uchar* Uptr = planes[1].ptr<uchar>(y);for (int x = 0; x < I_YUV.cols; x++){Uptr[x] = saturate_cast<uchar>((Uptr[x] - 128) / 2 + 128);// Method 3. process the second chroma plane using individual element accessuchar& Vxy = planes[2].at<uchar>(y, x);Vxy = saturate_cast<uchar>((Vxy - 128) / 2 + 128);}}//! [scanning]#else   //! [noisy]Mat noisyI(I.size(), CV_8U);           // Create a matrix of the specified size and type   // Fills the matrix with normally distributed random values (around number with deviation off).   // There is also randu() for uniformly distributed random number generationrandn(noisyI, Scalar::all(128), Scalar::all(20));// blur the noisyI a bit, kernel size is 3x3 and both sigma's are set to 0.5GaussianBlur(noisyI, noisyI, Size(3, 3), 0.5, 0.5);const double brightness_gain = 0;const double contrast_gain = 1.7;#ifdef DEMO_MIXED_API_USE// To pass the new matrices to the functions that only work with IplImage or CvMat do:// step 1) Convert the headers (tip: data will not be copied).// step 2) call the function   (tip: to pass a pointer do not forget unary "&" to form pointers)IplImage cv_planes_0 = planes[0], cv_noise = noisyI;cvAddWeighted(&cv_planes_0, contrast_gain, &cv_noise, 1, -128 + brightness_gain, &cv_planes_0);#elseaddWeighted(planes[0], contrast_gain, noisyI, 1, -128 + brightness_gain, planes[0]);#endifconst double color_scale = 0.5;// Mat::convertTo() replaces cvConvertScale.// One must explicitly specify the output matrix type (we keep it intact - planes[1].type())planes[1].convertTo(planes[1], planes[1].type(), color_scale, 128 * (1 - color_scale));// alternative form of cv::convertScale if we know the datatype at compile time ("uchar" here).// This expression will not create any temporary arrays ( so should be almost as fast as above)planes[2] = Mat_<uchar>(planes[2] * color_scale + 128 * (1 - color_scale));// Mat::mul replaces cvMul(). Again, no temporary arrays are created in case of simple expressions.planes[0] = planes[0].mul(planes[0], 1. / 255);//! [noisy]#endif//! [end]merge(planes,3, I_YUV);                // now merge the results backcvtColor(I_YUV, I, COLOR_YCrCb2BGR);  // and produce the output RGB imagenamedWindow("image with grain", WINDOW_AUTOSIZE);   // use this to create images#ifdef DEMO_MIXED_API_USE// this is to demonstrate that I and IplI really share the data - the result of the above// processing is stored in I and thus in IplI too.cvShowImage("image with grain", IplI);#elseimshow("image with grain", I); // the new MATLAB style function show#endif   //! [end]waitKey();// Tip: No memory freeing is required!//      All the memory will be automatically released by the Vector<>, Mat and Ptr<> destructor.return 0;}