OpenCV realtime lightsaber with Houh lines

//http://www.youtube.com/user/thecplusplusguy
//This OpenCV example recognize a color (currently set to red) and make it into a lightsaber with Hugh-lines (see OpenCV tutorial 0)
#include <opencv2/opencv.hpp>
using namespace cv;

    Mat image,blurred,hsv,inRangeOutput,afterCopy,afterMult,white;
    bool get=true;

    //use it to get HSV value
void mouse_callBack(int mode,int x,int y,int flags,void* pointer)
{
    if(mode==1) //click
    {
        Point p(x,y);
        Vec3b v=hsv.at<Vec3b>(y,x);
        std::cout << (int)v[0] << ' ' << (int)v[1] << ' ' << (int)v[2] << std::endl;
    }else if(mode==2)
    {
        get=false;
    }
}

int main()
{
    //get image from webcam
    VideoCapture vc(-1);
    vc.set(CV_CAP_PROP_POS_FRAMES,300);
    namedWindow("mainWindow");
    setMouseCallback("mainWindow",mouse_callBack);
    Vec3b color;
    int r=0,g=0,b=0;
    color[0]=0;
    color[1]=0;
    color[2]=255;
    int size=69;
    bool boo=true;
    int hue=25,sat=101,val=60;
    int huee=180,sate=360,vale=360;
    //uncomment it, if you want to set the HSV values (I recommend doing that for your lighting conditions)
/*  createTrackbar("track1","mainWindow",&hue,180,NULL);
    createTrackbar("track2","mainWindow",&sat,360,NULL);
    createTrackbar("track3","mainWindow",&val,360,NULL);
    createTrackbar("track4","mainWindow",&huee,180,NULL);
    createTrackbar("track5","mainWindow",&sate,360,NULL);
    createTrackbar("track6","mainWindow",&vale,360,NULL);*/

    createTrackbar("track7","mainWindow",&r,255,NULL);
    createTrackbar("track8","mainWindow",&g,255,NULL);
    createTrackbar("track9","mainWindow",&b,255,NULL);
    while(1)
    {
        color[0]=b;
        color[1]=g;
        color[2]=r;
        if(get)
            vc >> image;
        GaussianBlur(image,blurred,Size(11,11),0,0);    //reduce noise
        cvtColor(blurred,hsv,CV_BGR2HSV);   //HSV is better to pick color

        inRange(hsv,Scalar(hue,sat,val),Scalar(huee,sate,vale),inRangeOutput);
    //  inRange(hsv,Scalar(163,205,95),Scalar(180,360,360),inRangeOutput);  //pick red and convert it to a binary mask
        std::vector<Vec4i> lines;
        HoughLinesP(inRangeOutput,lines,1,CV_PI/180.0,250,10,5);
        Mat afterHoughLines(inRangeOutput.rows,inRangeOutput.cols,CV_8UC3,Scalar(0,0,0));
        for(int i=0;i<lines.size();i++)
        {
            line(afterHoughLines,Point(lines[i][0],lines[i][1]),Point(lines[i][2],lines[i][3]),Scalar(255,255,255),8,CV_AA);
        }
        Mat afterHoughLines2=afterHoughLines.clone();

        GaussianBlur(afterHoughLines,afterHoughLines,Size(size,size),0,0);  //glow effect
        GaussianBlur(afterHoughLines2,afterHoughLines2,Size(21,21),0,0);    //glow effect
    //  cvtColor(afterCopy,afterCopy,CV_GRAY2BGR);
    //  cvtColor(inRangeOutput,white,CV_GRAY2BGR);
        for(int i=0;i<afterHoughLines.size().height;i++)
            for(int j=0;j<afterHoughLines.size().width;j++)
            {
                Vec3b& s=afterHoughLines.at<Vec3b>(i,j);
                s[0]=(s[0]/255.0)*color[0];
                s[1]=(s[1]/255.0)*color[1];
                s[2]=(s[2]/255.0)*color[2];
            }
        image+=(afterHoughLines*5.0);
        image+=afterHoughLines2;
        imshow("mainWindow",image);
        //vw<<image;
        if(boo)
        {
            size+=8;
            if(size>=151)
                boo=!boo;
        }else{
            size-=8;
            if(size<=69)
                boo=!boo;
        }


        if(waitKey(30)==27)
            break;
    }
}