how to process images with different sizes for classification?
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
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 comentarios
Respuestas (1)
Image Analyst
el 24 de Oct. de 2016
Why not simply ask regionprops() to give you the bounding box?
2 comentarios
Image Analyst
el 24 de Oct. de 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.
Ver también
Categorías
Más información sobre Get Started with Image Processing Toolbox en Help Center y File Exchange.
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!