how to process images with different sizes for classification?
2 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
I've the following code for the image size (row = 320; col = 240;)
But i'm having images with variable sizes (116x110),(134x125), which need to be processed
function y = bounding_box(img)
[row col] = size(img);
top = 0;
bottom = 0;
left = 0;
right = 0;
for i = 1:row
if sum(img(i,:)) > 0
top = i;
break
end
end
for i = row:(-1):1
if sum(img(i,:)) > 0
bottom = i;
break
end
end
for i = 1:col
if sum(img(:,i)) > 0
left = i;
break
end
end
for i = col:(-1):1
if sum(img(:,i)) > 0
right = i;
break
end
end
y = img(top:bottom, left:right);
0 Kommentare
Antworten (1)
Image Analyst
am 24 Okt. 2016
Why not simply ask regionprops() to give you the bounding box?
2 Kommentare
Image Analyst
am 24 Okt. 2016
How many blobs do you have? And if you have more than 1, do you want the bounding box of each one, or the bounding box of all the individual bounding boxes. In short, it's
labeledImage = bwlabel(binaryImage);
props = regionprops(labeledImage, 'BoundingBox');
props is a structure array with measurements, like bounding box, for each region.
Siehe auch
Kategorien
Mehr zu Get Started with Image Processing Toolbox 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!