Logistic map algorithm for image scrambling

edit

hello , i have written code for image scrambling using logistic map. the code is given below. Similar algortihm works well in MATLAB but in OPENCV i am getting original image as it is. not a scrambled one. How to resolve the problem?

                    #include <opencv2\highgui\highgui.hpp>
            #include <opencv2\core\core.hpp>
            #include <opencv2\core\mat.hpp>
            #include <opencv2\imgproc\imgproc.hpp>
            #include<iostream>
            #include<math.h>
            #include<conio.h>
            using namespace std;
            using namespace cv;

            class image
            {
            public:
                Mat im,im1,im2,cs,im_enc;
                int getim();

            };

            int image::getim()
            {
               im=imread("logo1.jpg",0);

                if (im.empty()) 

                {
                  cout << "Error : Image cannot be loaded..!!" << endl;
                  return -1;
                }

                         im1=Mat::zeros(im.rows,im.cols,CV_8U);
                         threshold(im,im1,128,255,1);
                         cs=Mat::zeros(im.rows,im.cols,CV_8U);
                        im_enc=Mat::zeros(im.rows,im.cols,CV_8U);
                        float x_new,x_old=0.7;

                for(int rc=1;rc<im1.rows+1;rc++)
                {
                    for(int cc=1;cc<im1.cols+1;cc++)
                    {
                        for(int iter=1;iter<rc*cc+1;iter++)
                        {

                            x_new=x_old*4*(1-x_old);   //Logistic map
                            x_old=x_new;

                        }

                        if(x_old>=0.5)
                            cs.at<uchar>(rc,cc)=255;
                        else
                            cs.at<uchar>(rc,cc)=0;


                    }
                }

                bitwise_xor(im1,cs,im_enc,noArray());
                waitKey(4000);
                cout<<""<<im_enc;
                namedWindow("Scrambled Image",CV_WINDOW_AUTOSIZE);
                imshow("Scrambled Image",im_enc);
                waitKey(0);
                return 0;

            }

            int main()
            {
                image my;
                my.getim();
                return 0;
            }