I'm interested to find the answer to this problem as well ;)
Thinning of an image
14 次查看(过去 30 天)
显示 更早的评论
I was trying to code for thinning an image and to an extent I got an output. But still the final output does have some small unwanted lines emerging from different areas. My next step was to find intersection points. Because of these small lines, I get points which are actually not intersection points. How can I improve my code in order to avoid those lines.
if true
I = imread('img.jpg');
I = rgb2gray(I);
I = uint8(255*mat2gray(I));
I=imresize(I,[128 128]);
I1=edge(I,'canny',0.6);
I2=edge(I,'canny',0.1);
I = imsubtract(I2,I1);
si = imdilate(I,strel('line',3,0));
se = imerode(I,strel('line',3,0));
I = imsubtract(si,se);
si = imdilate(I,strel('disk',1));
se = imerode(I,strel('disk',3));
I = imsubtract(si,se);
I = imfill(I,'holes');
[L num]=bwlabel(I); %%number of connected objects found in binary%%%
A=[];
for i=1:num
a=find(L==i);
A(i)=size(a,1);
end
[b indxA]=max(A);
L2(128,128)=0;
for i=1:num
if A(i)>=0.9*b
L2(find(L==i))=1;
end
end
I = imerode(L2,strel('disk',1));
I = bwmorph(I,'skel',Inf);
[i,j] = ind2sub(size(I),find(bwmorph(bwmorph(I,'thin',Inf),'branchpoint') == 1));
figure,imshow(I); hold on; plot(j,i,'rx');
end
回答(0 个)
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!