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Opencv图像识别从零到精通(11)---一个窗口多图显示

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前面介绍了如何批量的读取图片,从而也会有批量的显示一堆图片,那么在平时我们显示图片的时候,会发现都是一个图片一个窗口,会出来很多,这时候就会想到matlab中我们经常会使用subplot显示多张图片在一个窗口,从简单到复杂,再一次认为subplot(),感觉越来越有意思,虽然不是最好的,但是是入门比较好的,其中很多部分都可以进行优化,以后会在精通部分进行展示,这里已入门为主。

一、版本1

int main(void)

{

vector imgs(2);

imgs[0] = imread("cm.png");
imgs[1] = imread("cm.png");

Mat dispImg;

int x, y;

x = imgs[0].cols;
y = imgs[0].rows;

int max;

max = (x > y)? x: y;

int dstsize=max;

dispImg.create(Size(dstsize*(1+1)+100,dstsize), CV_8UC3);

int nImg = (int)imgs.size();

for(int i=0;i


Opencv图像识别从零到精通(11)---一个窗口多图显示

二、版本2

int main(void)

{

vector imgs(6);

imgs[0] = imread("cm.png");
imgs[1] = imread("cm.png");
imgs[2] = imread("lina.png");
imgs[3] = imread("dr.png");
imgs[4] = imread("pom.png");
imgs[5] = imread("qop.png");

imshowMany("DOTA2_Hero", imgs);

waitKey();

return 0;

}

void imshowMany(const std::string& _winName, const vector& _imgs)

{

int nImg = (int)_imgs.size();

Mat dispImg;

int size;

int x, y;

// w - Maximum number of images in a row

// h - Maximum number of images in a column

int w, h;

// scale - How much we have to resize the image

float scale;

int max;

if (nImg <= 0)

{

printf("Number of arguments too small....\n");

return;

}

else if (nImg > 12)

{

printf("Number of arguments too large....\n");

return;

}

else if (nImg == 1)

{

w = h = 1;

size = 300;

}

else if (nImg == 2)

{

w = 2; h = 1;

size = 300;

}

else if (nImg == 3 || nImg == 4)

{

w = 2; h = 2;

size = 300;

}

else if (nImg == 5 || nImg == 6)

{

w = 3; h = 2;

size = 200;

}

else if (nImg == 7 || nImg == 8)

{

w = 4; h = 2;

size = 200;

}

else

{

w = 4; h = 3;

size = 150;

}

dispImg.create(Size(100 + size*w, 60 + size*h), CV_8UC3);

for (int i= 0, m=20, n=20; i y)? x: y;

scale = (float) ( (float) max / size );

if (i%w==0 && m!=20)

{

m = 20;

n += 20+size;

}

Mat imgROI = dispImg(Rect(m, n, (int)(x/scale), (int)(y/scale)));

resize(_imgs[i], imgROI, Size((int)(x/scale), (int)(y/scale)));

}

namedWindow(_winName);

imshow(_winName, dispImg);

}


Opencv图像识别从零到精通(11)---一个窗口多图显示

三、Matlab辅助

matlab就一个subplot()就搞定了,参考这个最后给出了matlab的代码和图片


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