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Mat maskUnsolved = Mat(imgSize, CV_8UC1, cv::Scalar(0));

vector<cv::point> toSolveList;

toSolveList = getContour(maskUnsolved);//i called the function here

vector<cv::Point> BayesianMatting::getContour(Mat img)

{

 vector<cv::Point> ret;
 vector<vector<cv::Point> > contours;

 cv::findContours(img, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);//error is here
 int numContours = contours.size();
 for(int i=0;i<numContours;i++)
 {
    int count = contours[i].size();
    for(int j=0;j<count;j++)
    { 
        ret.push_back(contours[i][j]);
    }
 }
 return ret;

}

not very good ,because the environment is so complicated now,the background is not absolutely blue.

my higher mathematics is not very good,that's so difficult to me. -_-

i had seen the bayesian matting papers and robust matting ,but i could not find any code about that

my English is awful, :) my purpose is to achieve blue background video matting,do you have any idea?

what's that mean?

thank you for your time,that is awesome

erode let the cat have no beard :D

No,cv::bitwise_and(src, dst, bk);//this is error ,size of input argument do not match

this is the source image,i matting the cat with photoshopcs5 and setting the background blue,cause i think this maybe easier to matted by opencv. this is the threshold image

Mat src,dst;
namedWindow("SRC");
namedWindow("DST");
src = imread("t1.jpg");
if (src.empty())
{
    cout<<"read data error!"<<endl;
    return -1;
}
imshow("SRC",src);

split(src,spl);//split
createTrackbar("thresh","DST",&threshold_value,255,on_Threshold);
on_Threshold(0,0);//CALLBACK

this is callback function

threshold(spl[0],dst,threshold_value,max_thresh,THRESH_BINARY_INV);
imshow("DST",dst);
bk = imread("Daydream.jpg");
if (bk.empty())
{
    cout<<"read data error!"<<endl;
    return ;
}
src.copyTo(bk,dst);//
imshow("dst2",bk);

yeah,pretty good! but blue.at<char>(i,j) = temp_blue;//cannot convert Scalar to char green.at<char>(i,j) = temp_green;//cannot convert Scalar to char red.at<char>(i,j) = temp_red;//cannot convert Scalar to char

thank you ,i know it.
cause my mother tongue is not English,I can not understand the point correctly.

why the split pictures are not red,green,blue?Did i still need something else to deal with?

namedWindow("dst");
//i want t show R B G pictures
vector<Mat> spl;

src = imread("t1.jpg");
imshow("SRC",src);
split(src,spl);
imshow("spl1",spl[0]);//b
imshow("spl2",spl[1]);//g
imshow("spl3",spl[2]);//r