The following code for rectangle detection somewhat helped me. But now i want to crop the rectangle as a sub image.
img =imread('xyz6.jpg');
bw = im2bw(img);
% find both black and white regions
stats = [regionprops(bw); regionprops(not(bw))]
% show the image and draw the detected rectangles on it
imshow(bw);
hold on;
for i = 1:numel(stats)
rectangle('Position', stats(i).BoundingBox, ...
'Linewidth', 2, 'EdgeColor', 'r', 'LineStyle', '--');
end
You may use imcrop fucntion of matlab
http://in.mathworks.com/help/images/ref/imcrop.html
If you have the image processing toolbox, you can simply use IMCROP with the rect input parameter.
Greetings, David
No, i am using computer vision to contentiously record video from environment frame by frame and if any of the frame contains one or more rectangle shaped imaged, will be cropped and stored in variables for further processing....... not toolbox..
Either you stated your problem the wrong way or I really don't get it. You obviously have the image processing toolbox available as REGIONPROPS is a part of it, cropping the image in the loop is just a call to IMCROP(BW,rect) where rect has to be compute from the BoundingBox stats returned by REGIONPROPS... You can stored the ouput whereever you want.
Thanks for downrating by the way...
Thank you David,
It Really helped me.........
The down-rating was done abnormally due to some issues in my browser.... i am sorry for it.
I have used IMCROP(BW,rect) as you suggested and became able to crop a single image from a big image will try to extend it for multiple objects recognition and cropping .........
im = im2bw(imread('xyz6.jpg'));
imshow(im);
imInvert =~im;
figure(2);
imshow(imInvert);
s = regionProps(imInvert, 'BoundingBox');
figure(3);
imshow(im);
rectangle('Position', s.BoundingBox);
imCrop = ~imcrop(imInvert, s.BoundingBox);
figure(4);
imshow(imCrop);
Bundle of thanks David...
I want to crop the image in a triangular and circular fashion. How to do that in python?
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