作者：敏感的宝马Steven
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测试代码 #include <iostream>#include <opencv2/opencv.hpp>#include <vector>using namespace std;using namespace cv;cv::Mat ImageSplicing(vector<cv::Mat> 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<cv::Mat> 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<cv::Mat> 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 图1 横向拼接 图2 纵向拼接
本文提供的图像拼接函数，可以实现如“长图拼接王”这类小程序的类似功能，大家可以将该函数封装在软件中自由使用~
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