Using double precision with vision.ForegroundDetector

Nathan Yonkee

2021 8 12

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9 次查看（30 天）

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I am performing foreground detection on a 16 bit grayscale image. The vision.ForegroundDetector object only accepts images of uint8, double, or single data types. I tried using double precision as follows, but my output is 0 for every pixel:

detector = vision.ForegroundDetector(...
       'MinimumBackgroundRatio', 0.55, ...
       'NumTrainingFrames', 6, ... 
       'LearningRate', 0.005, ...
       'InitialVariance', 24.^2);
fgMask = detector(im2double(frameGray));

However, if I use im2uint8 instead of im2double I get the detections I expect. I want to have full precision, so using im2uint8 doesn't solve my problem.

Edit: It is not just my images that this fails for. Changing the image data type to double in the 'vision/TrackCarsExample' also causes the algorithm to fail.