本篇内容主要讲解“如何使用c++实现OpenCV图像横向和纵向拼接”，感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷，实用性强。下面就让小编来带大家学习“如何使用c++实现OpenCV图像横向和纵向拼接”吧!
计算
安全
数据库
网络和加速
企业服务
// 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;
}#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;
}
图1 横向拼接
图2 纵向拼接
到此，相信大家对“如何使用c++实现OpenCV图像横向和纵向拼接”有了更深的了解，不妨来实际操作一番吧！这里是亿速云网站，更多相关内容可以进入相关频道进行查询，关注我们，继续学习！
亿速云「云服务器」，即开即用、新一代英特尔至强铂金CPU、三副本存储NVMe SSD云盘，价格低至29元/月。点击查看>>
免责声明：本站发布的内容（图片、视频和文字）以原创、转载和分享为主，文章观点不代表本网站立场，如果涉及侵权请联系站长邮箱：is@yisu.com进行举报，并提供相关证据，一经查实，将立刻删除涉嫌侵权内容。
