#include
#include
using namespace std;
using namespace cv;
int main()
{
Mat srcImage = imread("D://vvoo//group.jpg");
Mat mask;
Mat foreground;
Rect rect(0, 100, 500, 200);
Mat bkgModel, fgrModel; // the models (internally used)
// GrabCut segmentation
grabCut(srcImage, // input image
mask, // segmentation result
rect, bkgModel, fgrModel, 5, GC_INIT_WITH_RECT);
// Get the pixels marked as likely foreground、
//就是这句话------------------------------------------------------------------------------------------------------------------------------------------------
mask = mask & 1;//try to find forgeground
//就是上面那句话------------------------------------------------------------------------------------------------------------------------------------------
foreground.create(srcImage.size(), CV_8UC3);
foreground.setTo(Scalar(255, 255, 255));
srcImage.copyTo(foreground, mask); // pixels of background are not copied;pixels of srcImage is copied if mask isn't zero
// draw rectangle on original image
rectangle(srcImage, rect, Scalar(255, 255, 255), 1);
imshow("Original Image", srcImage);
// display result
imshow("Foreground objects", foreground);
waitKey();
return 0;
}
mask = mask & 1/0等同于bitwise_and
见: https://kdr2.com/tech/main/1810-elewise-matrix-op-opencv.html
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系统学习,也许能解决你的问题。
在opencv core模块有opencv的基本运算,这个就是按位与,
mask中用数据表示前景,0表示背景,那1&1是不是就是个,和0&结果就是0,就可以拿到前景了,可以分割图像。