I'm trying to detect seams in welding images for an autonomous welding process.
I want to find pixel positions of the detected line (the red line in the desired image) in the original image.
I used the following code and finally removed noise from the image to reach the result below.
clc,clear,clf;
im = imread('https://i.stack.imgur.com/UJcKA.png');
imshow(im);title('Original image'); pause(0.5);
sim = edge(im, 'sobel');
imshow(sim);title('after Sobel'); pause(0.5);
mask = im > 5;
se = strel('square', 5);
mask_s = imerode(mask, se);
mask(mask_s) = false;
mask = imdilate(mask, se);
sim(mask) = false;
imshow(sim);title('after mask');pause(0.5);
sim= medfilt2(sim);
imshow(sim);title('after noise removal')
Unfortunately there is nothing remaining in the image to find the seam perfectly.
Any help would be appreciated.
Download Original image.
You need to make your filter more robust to noise. This can be done by giving it a larger support:
The robust mask looks like:
As you can see, the seam line is well detected, we just need to pick it as the largest connected component:
Now we can fit a polygon (2nd degree) to the seem:
And here it is over the image:
Note the
+2
Y offset due to filter width.PS,
You might find this thread relevant.