使用c++实现OpenCV图像横向&纵向拼接使用c++实现OpenCV图像横向&纵向

功能函数

// 图像拼接cv::Mat ImageSplicing(vector images,int type){ if (type != 0 && type != 1)type = 0; int num = images.size(); int newrow = 0; int newcol = 0; cv::Mat result; // 横向拼接 if (type == 0) {int minrow = 10000; for (int i = 0; i < num; ++i){if (minrow > images[i].rows)minrow = images[i].rows; }newrow = minrow; for (int i = 0; i < num; ++i){int tcol = images[i].cols*minrow / images[i].rows; int trow = newrow; cv::resize(images[i], images[i], cv::Size(tcol, trow)); newcol += images[i].cols; if (images[i].type() != images[0].type())images[i].convertTo(images[i], images[0].type()); }result = cv::Mat(newrow, newcol, images[0].type(), cv::Scalar(255, 255, 255)); cv::Range rangerow, rangecol; int start = 0; for (int i = 0; i < num; ++i){rangerow = cv::Range((newrow - images[i].rows) / 2, (newrow - images[i].rows) / 2 + images[i].rows); rangecol = cv::Range(start, start + images[i].cols); images[i].copyTo(result(rangerow, rangecol)); start += images[i].cols; } } // 纵向拼接 else if (type == 1) {int mincol = 10000; for (int i = 0; i < num; ++i){if (mincol > images[i].cols)mincol = images[i].cols; }newcol = mincol; for (int i = 0; i < num; ++i){int trow = images[i].rows*mincol / images[i].cols; int tcol = newcol; cv::resize(images[i], images[i], cv::Size(tcol, trow)); newrow += images[i].rows; if (images[i].type() != images[0].type())images[i].convertTo(images[i], images[0].type()); }result = cv::Mat(newrow, newcol, images[0].type(), cv::Scalar(255, 255, 255)); cv::Range rangerow, rangecol; int start = 0; for (int i = 0; i < num; ++i){rangecol= cv::Range((newcol - images[i].cols) / 2, (newcol - images[i].cols) / 2 + images[i].cols); rangerow = cv::Range(start, start + images[i].rows); images[i].copyTo(result(rangerow, rangecol)); start += images[i].rows; } } return result; }

测试代码

#include #include #include using namespace std; using namespace cv; cv::Mat ImageSplicing(vector images, int type); int main(){ cv::Mat src1 = imread("1.jpg"); cv::Mat src2 = imread("2.jpg"); cv::Mat src3 = imread("3.jpg"); cv::Mat src4 = imread("4.jpg"); vector images; images.push_back(src1); images.push_back(src2); images.push_back(src3); images.push_back(src4); // 0为横向 cv::Mat result1 = ImageSplicing(images, 0); // 1为纵向 cv::Mat result2 = ImageSplicing(images, 1); imwrite("result1.jpg",result1); imwrite("result2.jpg",result2); return 0; }// 图像拼接cv::Mat ImageSplicing(vector images,int type){ if (type != 0 && type != 1)type = 0; int num = images.size(); int newrow = 0; int newcol = 0; cv::Mat result; // 横向拼接 if (type == 0) {int minrow = 10000; for (int i = 0; i < num; ++i){if (minrow > images[i].rows)minrow = images[i].rows; }newrow = minrow; for (int i = 0; i < num; ++i){int tcol = images[i].cols*minrow / images[i].rows; int trow = newrow; cv::resize(images[i], images[i], cv::Size(tcol, trow)); newcol += images[i].cols; if (images[i].type() != images[0].type())images[i].convertTo(images[i], images[0].type()); }result = cv::Mat(newrow, newcol, images[0].type(), cv::Scalar(255, 255, 255)); cv::Range rangerow, rangecol; int start = 0; for (int i = 0; i < num; ++i){rangerow = cv::Range((newrow - images[i].rows) / 2, (newrow - images[i].rows) / 2 + images[i].rows); rangecol = cv::Range(start, start + images[i].cols); images[i].copyTo(result(rangerow, rangecol)); start += images[i].cols; } } // 纵向拼接 else if (type == 1) {int mincol = 10000; for (int i = 0; i < num; ++i){if (mincol > images[i].cols)mincol = images[i].cols; }newcol = mincol; for (int i = 0; i < num; ++i){int trow = images[i].rows*mincol / images[i].cols; int tcol = newcol; cv::resize(images[i], images[i], cv::Size(tcol, trow)); newrow += images[i].rows; if (images[i].type() != images[0].type())images[i].convertTo(images[i], images[0].type()); }result = cv::Mat(newrow, newcol, images[0].type(), cv::Scalar(255, 255, 255)); cv::Range rangerow, rangecol; int start = 0; for (int i = 0; i < num; ++i){rangecol= cv::Range((newcol - images[i].cols) / 2, (newcol - images[i].cols) / 2 + images[i].cols); rangerow = cv::Range(start, start + images[i].rows); images[i].copyTo(result(rangerow, rangecol)); start += images[i].rows; } } return result; }

测试效果