code is supposed to take the input image, extract the objects, then overlap circle masks of decreasing radius (r=64,.....1) on each object. A histogram of the no. of white pixels that coincide with the circle mask should be plotted. How do I proceed?

   A=imread('search.jpg');
  figure,imshow(A); title('Original Image');
  %Convert the Image to binary
  B=im2bw(A);

%Fill the holes
C=imfill(B,'holes');

%Label the connected components
[Label,Total]=bwlabel(C,8);
%Rectangle containing the region
Sdata=regionprops(Label,'BoundingBox');

%Crop all the objects 
for i=1:total
    Img=imcrop(A,Sdata(i).BoundingBox);
    Name=strcat('Object Number:',num2str(i));
    imwrite(Img,'i.jpg');
    B=padarray(Img,[10 10]);
    B=imresize(B,[128 128]);
    figure,imshow(B); title(Name);
end
 rows = 128;
cols = 128;
center = [64 64];
grayImage = rgb2gray(B)
for radius=1:64
 [xMat,yMat] = meshgrid(1:cols,1:rows);
 distFromCenter = sqrt((xMat-center(1)).^2 + (yMat-center(2)).^2);
 circleMat = distFromCenter<=radius;
 circle_image = double(grayImage).* circleMat;
 ne(radius) = length(find(circle_image > 0))
 end
figure,hist(ne);
xlabel('Overlapped white pixels');
ylabel('Frequency');
title('Histogram');