Applying Moore's Boundary Tracing Algorithm for binary image
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Hello everyone!! I have tried to implement Moore's Boundary Tracing Algorithm for Edge Linking Operation of the binary image. This is my code:
function boundary = traceit(input)
binary = logical(input); [rows,columns] = size(binary); padded(rows+2,columns+2) = 0; padded(2:rows+1,2:columns+1) = binary;
N = circshift(padded,[0 1]); S = circshift(padded,[0 -1]); E = circshift(padded,[-1 0]); W = circshift(padded,[1 0]); boundary_image = padded - (padded + N + S + E + W == 5);
boundary_size = sum(boundary_image(:)) + 1; boundary(boundary_size,2) = 0;
for i = 1:rows for j = 1:columns if binary(i,j) == 1 break; end end if binary(i,j) == 1 break; end end
initial_entry = [j,i] + 1;
neighborhood = [-1 0; -1 -1; 0 -1; 1 -1; 1 0; 1 1; 0 1; -1 1]; exit_direction = [7 7 1 1 3 3 5 5];
for n = 1:8 c = initial_entry + neighborhood(n,:); if padded(c(2),c(1)) initial_position = c; break; end end
initial_direction = exit_direction(n);
boundary(1,:) = initial_position;
position = initial_position; direction = initial_direction; boundary_size = 1;
while true for n = circshift(1:8,[0,1-direction]) c = position + neighborhood(n,:); if padded(c(2),c(1)) position = c; break; end end
direction = exit_direction(n); boundary_size = boundary_size + 1; boundary(boundary_size,:) = position;
if all(position == initial_position) &&...
(direction == initial_direction)
break;
end
end
boundary = boundary - 1; end
After that I try to apply this function for my target image. I have perform the following conversion on the image before using the function: RGB - Gray Scale - Binary - Canny Edge Detector
im = imread('shape.png'); img = rgb2gray(im); BW = im2bw(img,0.5); e = edge(BW,'canny'); imshow(e,[])
e = traceit(out); figure imshow(out)
After I have computed, it does not return with any error, but the algorithm also doesn't work in the manner I expected neither. Please kindly give me some advice.
Thank you very much!!!
1 Comment
John D'Errico
on 8 Jun 2016
Time to learn to use the debugger. Look at what it is doing. Then think about why there is something strange happening.
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