acquiring a single image in a loop -凯发k8网页登录

set up the acquisition object

most interaction with image acquisition toolbox is done through a video input object. these objects are created with the videoinput command. this example uses a webcam that is accessed through the toolbox's "winvideo" adaptor.

vidobj = videoinput('winvideo');

acquire a frame

to acquire a single frame, use the getsnapshot function.

snapshot = getsnapshot(vidobj);
% display the frame in a figure window.
imagesc(snapshot)

acquire multiple frames

a common task is to repeatedly acquire a single image, process it, and then store the result. to do this, getsnapshot can be called in a loop.

for i = 1:5
    snapshot = getsnapshot(vidobj);
    imagesc(snapshot);
end

timing implications

the getsnapshot function performs a lot of work when it is called. it must connect to the device, configure it, start the acquisition, acquire one frame, stop the acquisition, and then close the device. this means that the acquisition of one frame can take significantly longer than would be expected based on the frame rate of the camera. to illustrate this, call getsnapshot in a loop.

% measure the time to acquire 20 frames.
tic
for i = 1:20
    snapshot = getsnapshot(vidobj);
end
elapsedtime = toc
% compute the time per frame and effective frame rate.
timeperframe = elapsedtime/20
effectiveframerate = 1/timeperframe

elapsedtime =
   21.2434
timeperframe =
    1.0622
effectiveframerate =
    0.9415

the next example illustrates a more efficient way to perform the loop.

using manual trigger mode

you can avoid the overhead of getsnapshot described in the previous setting by using the manual triggering mode of the videoinput object. manual triggering mode allows the toolbox to connect to and configure the device a single time without logging data to memory. this means that frames can be returned to matlab® with less of a delay.

% configure the object for manual trigger mode.
triggerconfig(vidobj, 'manual');
% now that the device is configured for manual triggering, call start.
% this will cause the device to send data back to matlab, but will not log
% frames to memory at this point.
start(vidobj)
% measure the time to acquire 20 frames.
tic
for i = 1:20
    snapshot = getsnapshot(vidobj);
end
elapsedtime = toc
% compute the time per frame and effective frame rate.
timeperframe = elapsedtime/20
effectiveframerate = 1/timeperframe
% call the stop function to stop the device.
stop(vidobj)

elapsedtime =
    1.4811
timeperframe =
    0.0741
effectiveframerate =
   13.5031

you can see that the elapsed time using manual triggering is much smaller than the previous example.

cleanup

once the video input object is no longer needed, delete the associated variable.

delete(vidobj)