How to analyse optical flow information
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Life is Wonderful
am 2 Aug. 2023
Kommentiert: Life is Wonderful
am 24 Aug. 2023
Hi there,
I have acquired the output from the optical fow in a structure and would like to learn how to use the data to say there are defects - using magnitude and Orientation, as well as how to use Vector motion Vx and Vy in my analysis.As an example, consider determining the peak and obtaining the wavelength measurement per unit time.
Is it possible to extract the output vectors? I'd like to use static analysis to determine the quality in terms of flicker, blink, and blur. Any suggestions would be highly appreciated.
The information in my sample data structure is as follows:
Vx: [360×640 single]
Vy: [360×640 single]
Orientation: [360×640 single]
Magnitude: [360×640 single]
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Praveen Reddy
am 23 Aug. 2023
Bearbeitet: Praveen Reddy
am 23 Aug. 2023
Hi,
I understand that you want to compute spatial image gradients, temporal gradients and export the results. You can compute the spatial gradient using the flow obtained and temporal gradient as the difference between current frame and previous frame. Please find the modified code below where the results are exported as “.mat” files.
vidReader = VideoReader('visiontraffic.avi');
opticFlow = opticalFlowHS;
h = figure;
movegui(h);
hViewPanel = uipanel(h,'Position',[0 0 1 1],'Title','Plot of Optical Flow Vectors');
hPlot = axes(hViewPanel);
% Create arrays to store spatial and temporal gradients
spatial_gradients = [];
temporal_gradients = [];
fprintf('%15s| %15s| %15s| %15s|\n---------------+----------------+----------------+-----------------+\n', ...
'VidCurrentTime','Magnitude','Orientation','Algexecutiontime' );
% Initialize previous frame variables
prevFrameRGB = readFrame(vidReader);
prevFrameGray = im2gray(prevFrameRGB);
while hasFrame(vidReader)
frameRGB = readFrame(vidReader);
frameGray = im2gray(frameRGB);
t1 = tic;
flow = estimateFlow(opticFlow,frameGray);
t2 = toc(t1);
fprintf('%15.4f|%15.8f | %15.8f| %16.8f|\n',vidReader.CurrentTime,std2(sqrt(flow.Magnitude)),std2(angle(flow.Orientation)),t2 );
% Calculate spatial gradient (per pixel) using the magnitude of flow
spatial_gradient = sqrt(flow.Magnitude);
spatial_gradients = [spatial_gradients; spatial_gradient(:)];
% Calculate temporal gradient (per frame) using the difference between current and previous frame
temporal_gradient = abs(frameGray - prevFrameGray);
temporal_gradients = [temporal_gradients; temporal_gradient(:)];
imshow(frameRGB)
hold on
plot(flow,'DecimationFactor',[5 5],'ScaleFactor',60,'Parent',hPlot);
q = findobj(gca,'type','Quiver');
q.Color = 'r';
drawnow
hold off
pause(10^-3)
% Store current frame for the next iteration
prevFrameRGB = frameRGB;
prevFrameGray = frameGray;
end
% Export the spatial and temporal gradients as data files
save('spatial_gradients.mat', 'spatial_gradients');
save('temporal_gradients.mat', 'temporal_gradients');
I hope this helps.
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