I have a binary image that represents a number in MATLAB:
I\'d like to fill all the d
Assuming the top-left pixel is always outside the regions to filled:
Work across the top line, copying pixels to the output image
When you come to a white pixel followed by a black pixel in the input image, start setting white pixels in the output image, until you come to black pixel followed by a white pixel.
The problem is how to distinguish the holes from the digits. A possible ad hoc solution is filtering them by the area of the pixels inside.
function SolveSoProblem()
I = imread('http://i.stack.imgur.com/SUvif.png');
%Fill all the holes
F = imfill(I,'holes');
%Find all the small ones,and mark their edges in the image
bw = bwlabel(I);
rp = regionprops(bw,'FilledArea','PixelIdxList');
indexesOfHoles = [rp.FilledArea]<150;
pixelsNotToFill = vertcat(rp(indexesOfHoles).PixelIdxList);
F(pixelsNotToFill) = 0;
figure;imshow(F);
%Remove the inner area
bw1 = bwlabel(F,4);
rp = regionprops(bw1,'FilledArea','PixelIdxList');
indexesOfHoles1 = [rp.FilledArea]<150;
pixelListToRemove = vertcat(rp(indexesOfHoles1).PixelIdxList);
F(pixelListToRemove) = 0;
figure;imshow(F);
end
After step(1):
After step(2):
Another possibility is to use the BWBOUNDARIES function, which:
traces the exterior boundaries of objects, as well as boundaries of holes inside these objects
That information is contained in the fourth output A
, an adjacency matrix that represents the parent-child-hole dependencies.
%# read binary image
bw = imread('SUvif.png');
%# find all boundaries
[B,L,N,A] = bwboundaries(bw, 8, 'holes');
%# exclude inner holes
[r,~] = find(A(:,N+1:end)); %# find inner boundaries that enclose stuff
[rr,~] = find(A(:,r)); %# stuff they enclose
idx = setdiff(1:numel(B), [r(:);rr(:)]); %# exclude both
bw2 = ismember(L,idx); %# filled image
%# compare results
subplot(311), imshow(bw), title('original')
subplot(312), imshow( imfill(bw,'holes') ), title('imfill')
subplot(313), imshow(bw2), title('bwboundaries')