snake algorithm

function sneaker(org_image,n)
I=rgb2gray(org_image) ;
    imshow(I)
  
    str = 'Click to select initial contour location. Double-click to confirm and proceed.';
    title(str,'Color','b','FontSize',12);
    disp(sprintf('\nNote: Click close to object boundaries for more accurate result.'));
  
    % Select region interactively
    mask = roipoly;
  
    figure,
    imshow(mask)
    title('Initial MASK');
  
    % Segment the image using active contours
    maxIterations = n; % More iterations may be needed to get accurate segmentation. 
    bw = activecontour(I, mask, maxIterations, 'Chan-Vese');
  
    org_med_noise= imnoise(I,'gaussian',0, 0.01);

org_high_noise= imnoise(I,'gaussian',0, 0.02);
    
    % Display segmented image
    figure;
    subplot(1,3,1) ;
    imshow(bw)
    title('No noise');
global noice; global mednc ; global highnc ;
noice= double(bw(:,:,1)); 

subplot(1,3,2);
seg_med= activecontour(org_med_noise, mask, maxIterations, 'Chan-Vese');
imshow(seg_med);
title('Moderate noise');
mednc = double(seg_med(:,:,1)); 
subplot(1,3,3)
seg_high = activecontour(org_high_noise, mask, maxIterations, 'Chan-Vese');
imshow(seg_high);
title('High noise');
highnc = double(seg_high(:,:,1)); 

end