opencv从零开始——2. ROI与线性融合

1.感兴趣的区域：ROI

ROI : 感兴趣的区域（region  of  interest ）
代码如下：

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>

using namespace cv;
using namespace std;

bool ROI_AddImage()
{
Mat srcImage1 = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/7.jpg");
Mat logoImage = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/logo3.jpg");

if (!srcImage1.data) {
return false;
}

if (!logoImage.data) {
return false;
}

Mat imageROI = srcImage1(Rect(300, 300, logoImage.cols, logoImage.rows));

Mat mask = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/logo3.jpg", 0);

logoImage.copyTo(imageROI, mask);

namedWindow("<1>利用ROI实现图像叠加示例窗口");
imshow("<1>利用ROI实现图像叠加示例窗口", srcImage1);
Mat img = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/7.jpg");
imshow("原图", img);
waitKey(0);
return true;

}

//"/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/v1.jpg"
int main(int argc, char* argv[])
{
ROI_AddImage();

return 0;
}

效果如下，小猫吃鱼的图片，就是插入进去的：

2. 图像融合

【注意】需要两幅图像，尺寸一致，本次采用的尺寸: 550*405

代码如下：

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>

using namespace cv;
using namespace std;

bool ROI_AddImage()
{
Mat srcImage1 = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/7.jpg");
Mat logoImage = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/logo3.jpg");

if (!srcImage1.data) {
return false;
}

if (!logoImage.data) {
return false;
}

Mat imageROI = srcImage1(Rect(300, 300, logoImage.cols, logoImage.rows));

Mat mask = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/logo3.jpg", 0);

logoImage.copyTo(imageROI, mask);

namedWindow("<1>利用ROI实现图像叠加示例窗口");
imshow("<1>利用ROI实现图像叠加示例窗口", srcImage1);
Mat img = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/7.jpg");
imshow("原图", img);
waitKey(0);
return true;

}

bool LinearBlending()
{
double alphaValue = 0.5;
double betaValue;

Mat srcImage2, srcImage3, dstImage;
//两幅图片，需要裁剪成相同的尺寸，本例采用尺寸： 550 * 405
srcImage2 = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/kobe.jpg");
srcImage3 = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/James.jpg");

if (!srcImage2.data || !srcImage3.data) {
return false;
}

betaValue = 1.0 - alphaValue;
addWeighted(srcImage2, alphaValue, srcImage3, betaValue, 0.0, dstImage);

namedWindow("<3>线性混合示例窗口[效果图]", 1);
imshow("<3>线性混合示例窗口[效果图]", dstImage);

waitKey(0);
return true;
}

//"/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/v1.jpg"
int main(int argc, char* argv[])
{
//ROI_AddImage();
LinearBlending();
return 0;
}

原图如下：





效果图如下：

3. 对感兴趣的区域，融入一幅图像

代码如下：

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>

using namespace cv;
using namespace std;

bool ROI_AddImage()
{
Mat srcImage1 = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/7.jpg");
Mat logoImage = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/logo3.jpg");

if (!srcImage1.data) {
return false;
}

if (!logoImage.data) {
return false;
}

Mat imageROI = srcImage1(Rect(300, 300, logoImage.cols, logoImage.rows));

Mat mask = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/logo3.jpg", 0);

logoImage.copyTo(imageROI, mask);

namedWindow("<1>利用ROI实现图像叠加示例窗口");
imshow("<1>利用ROI实现图像叠加示例窗口", srcImage1);
Mat img = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/7.jpg");
imshow("原图", img);
waitKey(0);
return true;

}

bool LinearBlending()
{
double alphaValue = 0.5;
double betaValue;

Mat srcImage2, srcImage3, dstImage;
//两幅图片，需要裁剪成相同的尺寸，本例采用尺寸： 550 * 405
srcImage2 = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/kobe.jpg");
srcImage3 = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/James.jpg");

if (!srcImage2.data || !srcImage3.data) {
return false;
}

betaValue = 1.0 - alphaValue;
addWeighted(srcImage2, alphaValue, srcImage3, betaValue, 0.0, dstImage);

namedWindow("<3>线性混合示例窗口[效果图]", 1);
imshow("<3>线性混合示例窗口[效果图]", dstImage);

waitKey(0);
return true;
}

void ROI_AddImage_LinearBlending()
{
Mat srcImage1 = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/7.jpg", 1);
Mat logoImage = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/logo.jpg");

if (!srcImage1.data) {
return;
}

if (!logoImage.data) {
return;
}

Mat imageROI = srcImage1(Rect(20, 230, logoImage.cols, logoImage.rows));
addWeighted(imageROI, 0.5, logoImage, 0.3, 0. , imageROI);

namedWindow("<4>利用ROI实现图像叠加示例窗口");
imshow("<4>利用ROI实现图像叠加示例窗口", srcImage1);
Mat img = imread("/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/7.jpg");
imshow("原图", img);
waitKey(0);
}

//"/mnt/hgfs/code_for_Linux/code_opencv/test1/pic/v1.jpg"
int main(int argc, char* argv[])
{
//ROI_AddImage();
//LinearBlending();
ROI_AddImage_LinearBlending();
return 0;
}

效果图：

4.参考文献

[1] 毛星云 冷雪飞. OpenCV3编程入门[M]. 电子工业出版社, 2015.