use*_*792 7 matlab image-processing fill
我有一个代表MATLAB中数字的二进制图像:

我想填写所有数字.期望的结果是:

我发现的唯一的东西就是imfill函数,但由于我丢失了内部数据(例如9的内圈),因此这并不是很有用.
另一种可能性是使用BWBOUNDARIES函数,它具有:
跟踪对象的外部边界以及这些对象内部的孔的边界
该信息包含在第四个输出中A,这是一个表示父子孔依赖关系的邻接矩阵.
%# 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')
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问题是如何区分孔和数字。一种可能的临时解决方案是通过内部像素的面积过滤它们。
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
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在步骤(1)之后:

在步骤(2)之后:
