使用GrabCut提取前景图像的示范代码

#include<opencv2/opencv.hpp>
bool selectObject = false;
cv::Point origin;
cv::Rect selection;
cv::Mat src;
cv::Mat srcMarks;
cv::Mat result;
cv::Mat foreground;
void GrabCutSegment();
 void onMouse(int event, int x, int y, int, void*)
{
    if (selectObject)
    {
        selection.x = MIN(x, origin.x);
        selection.y = MIN(y, origin.y);
        selection.width = std::abs(x - origin.x);
        selection.height = std::abs(y - origin.y);

        selection &= cv::Rect(, , src.cols, src.rows);
    }
    switch (event)
    {
    case cv::EVENT_LBUTTONDOWN:
        origin = cv::Point(x, y);
        selection = cv::Rect(x, y, , );
        selectObject = true;
        break;
    case cv::EVENT_LBUTTONDOWN && cv::EVENT_MOUSEMOVE:
        src.copyTo(srcMarks);
        cv::rectangle(srcMarks, selection, cv::Scalar(, , ));
        imshow("srcMarks", srcMarks);
        break;
    case cv::EVENT_LBUTTONUP:
        selectObject = false;
         && selection.height != ){
            GrabCutSegment();
        }
        break;
    }
}

void GrabCutSegment(){
    cv::Mat bgModel, fgModel;
    cv::grabCut(src, result, selection, bgModel, fgModel, , cv::GC_INIT_WITH_RECT);
    cv::compare(result, cv::GC_PR_FGD, result, cv::CMP_EQ);
    // Generate output image
    foreground = cv::Mat::ones(src.size(), CV_8UC3);
    src.copyTo(foreground, result); // bg pixels not copied

    cv::imshow("segment", foreground);
}
int main(){
    src = cv::imread("hand.jpg");
    cv::imshow("src", src);

    cv::namedWindow("srcMarks");
    src.copyTo(srcMarks);
    cv::setMouseCallback();
    cv::imshow("srcMarks", srcMarks);

    cv::waitKey();

}

可以使用鼠标在srcMarks窗口中画出前景图像所在矩形，随后使用grabCut函数更加精准的确定每个像素是否属于前景，最后在segment窗口中显示前景图像。

测试图片：

测试结果：