Any suggestions to calculate the threshold of pixel intensity (the dip represents low intensity)
2 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
imshow(matrix(:,:,1))
[x ,y]= ginput(2);
I = matrix(:,:,1);
for i=1:size(matrix,3)
I=matrix(:,:,i);
test = improfile(I(:,:,1), [x(1) x(2)] , [y(1) y(2)]);
end
plot(test);
x1= xline(20, 'color', 'r');
x2=xline(29, 'color', 'b');
2 Kommentare
Akzeptierte Antwort
Image Analyst
am 1 Aug. 2022
Try this:
[cx, xy, profile] = improfile(matrix(:,:,1), [x(1), x(2)] , [y(1), y(2)]);
threshold = (max(profile) + min(profile)) / 2; % Half way point in intensity.
indexLeft = find(profile >= threshold, 1, 'first')
xLeft = cx(indexLeft);
yLeft = cy(indexLeft);
indexRight = find(profile >= threshold, 1, 'last')
xRight = cx(indexRight);
yRight = cy(indexRight);
If you have any more questions, then attach your data and code to read it in with the paperclip icon after you read this:
3 Kommentare
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Convert Image Type finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!