How to find mean line of the this edge?

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vikash kumar
vikash kumar am 13 Aug. 2019
Kommentiert: Image Analyst am 17 Aug. 2019
Hi,
I'm working on image processing so i need help here i uploaded my image here.What i need is to find the middle line which will the skeleton of the edge.Please help me.
Thanks.
edge_img.jpg

Antworten (2)

Matt J
Matt J am 14 Aug. 2019
Try bwskel

Image Analyst
Image Analyst am 14 Aug. 2019
Call bwareafilt() to get the largest blob:
mask = bwareafilt(mask, 1);
Then scan across column by column to get the midline
[rows, columns] = size(mask);
topLines = zeros(1, columns);
bottomLines = zeros(1, columns);
for col = 1 : columns
y = find(mask(:, col), 1, 'first');
if ~isempty(y)
topLines(col) = y
bottomLines(col) = find(mask(:, col), 1, 'last')
end
end
% Get midline
midLine = (topLines + bottomLines) / 2;
% Fit a line through it, if you want
goodColumns = topLines ~= 0;
x = 1:columns;
coefficients = polyfit(x(goodColumns), midLine(goodColumns), 1)
yFitted = polyval(coefficients, x);
hold on;
plot(x, yFitted, 'r-', 'LineWidth', 2);
  6 Kommentare
Image Analyst
Image Analyst am 16 Aug. 2019
Darn, I was gettong all ready to help you now that I have more time, and you forgot to attach the images. Please attach the original PNG, tiff, bmp or JPG images. I can't call imread() on hte fig files.
Image Analyst
Image Analyst am 17 Aug. 2019
Oh, OK, so you don't really want to or need to do edge detection at all. All you need to do is to find the black lines, which you can do by color segmentation. So try that. Or better yet, just get the original digital signals if you can rather than trying to figure them out from a cell phone image of a strip chart.

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