![connEdges.png](https://www.mathworks.com/matlabcentral/answers/uploaded_files/269654/connEdges.png)
Connect edges in binary image
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Dear community,
I segmented image 1 to obtain to obtain image 2 (refer to the attachements). However I would like to connect the broken edges to obtain image no. 3 (connected edges are exemplified in red). Would you kindly have any suggestion? In case it may be of your interest, I also have the possibility to segment image 1 to obtain image 4.
Besides this, if you have any idea to fit the white edges into lines, it would be more than welcome!
Best![2.png](https://www.mathworks.com/matlabcentral/answers/uploaded_files/269627/2.png)
![2.png](https://www.mathworks.com/matlabcentral/answers/uploaded_files/269627/2.png)
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回答(1 个)
Subhadeep Koley
2020-2-3
After binarizing the image you can use the function bwmorph() to make a bridge between the white lines present in the image.
After bridging if you like you can use the function imdilate() to enhance the connected line. You can tweak various parameters of the function to get your desired output.
close all; clc;
a = imread('2.png');
a = imbinarize(a); % Binarize the image
b = bwmorph(a, 'bridge'); % Use this to connect the pixels
se = strel('line', 20, 180); % Structuring element for dilation
b = imdilate(b, se); % Dilating the image
imshow(b);
![connEdges.png](https://www.mathworks.com/matlabcentral/answers/uploaded_files/269654/connEdges.png)
See if this is your expected result.
3 个评论
Subhadeep Koley
2020-2-3
Yes, it is difficult to connect all the lines completely. However, as I said you can always tweak the dilation structures for your optimum result.
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