Filter löschen
Filter löschen

how to divide the matlab image into 3 sections or boxs??

3 Ansichten (letzte 30 Tage)
vishnu andavar
vishnu andavar am 24 Mär. 2013
i have resolution of 1280*720 i need to divide 720 into 3 partition and keep 1280 as is it ,how can i do it??and where do i add code in the below program?ie divide into 1280*240 1280*240 and 1280*240
Capture the video frames using the videoinput function
% You have to replace the resolution & your installed adaptor name.
vid = videoinput('winvideo', 1, 'I420_1280x720');
% Set the properties of the video object set(vid, 'FramesPerTrigger', Inf); set(vid, 'ReturnedColorspace', 'rgb') vid.FrameGrabInterval = 5;
%start the video aquisition here start(vid) % Set a loop that stop after 100 frames of aquisition while(vid.FramesAcquired<=200)
% Get the snapshot of the current frame
data = getsnapshot(vid);
% Now to track red objects in real time
% we have to subtract the red component
% from the grayscale image to extract the red components in the image.
diff_im = imsubtract(data(:,:,1), rgb2gray(data));
%Use a median filter to filter out noise
diff_im = medfilt2(diff_im, [3 3]);
% Convert the resulting grayscale image into a binary image.
diff_im = im2bw(diff_im,0.18);
% Remove all those pixels less than 300px
diff_im = bwareaopen(diff_im,300);
% Label all the connected components in the image.
bw = bwlabel(diff_im, 8);
% Here we do the image blob analysis.
% We get a set of properties for each labeled region.
stats = regionprops(bw, 'BoundingBox', 'Centroid');
% Display the image
imshow(data)
hold on
%This is a loop to bound the red objects in a rectangular box.
for object = 1:length(stats)
bb = stats(object).BoundingBox;
bc = stats(object).Centroid;
rectangle('Position',bb,'EdgeColor','r','LineWidth',2)
plot(bc(1),bc(2), '-m+')
a=text(bc(1)+15,bc(2), strcat('X: ', num2str(round(bc(1))), ' Y: ', num2str(round(bc(2)))));
set(a, 'FontName', 'Arial', 'FontWeight', 'bold', 'FontSize', 12, 'Color', 'yellow');
end
hold off
end
% Both the loops end here.
% Stop the video aquisition. stop(vid);
% Flush all the image data stored in the memory buffer. flushdata(vid);
% Clear all variables clear all

Akzeptierte Antwort

Image Analyst
Image Analyst am 26 Mär. 2013
Try this:
dataTop = rgb2gray(data(1:240, :,:));
dataMiddle = rgb2gray(data(241:480, :, :));
dataBottom = rgb2gray(data(481:end, :, :));
  11 Kommentare

Melden Sie sich an, um zu kommentieren.

Weitere Antworten (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by