Last modified on 16 April 2009, at 10:09

SwisTrack/Components/DoubleThresholdColorIndependent

DescriptionEdit

This step intends to separate the pixels that belongs to tracked objects. The pixels kept are in white and the black pixels will be considered as the background. Most of the time, this step follows a preprocessing method like background subtraction. In this specific case, the output pixel is white if the three channel values of the input pixel is inside of the respective color boundaries. output= (Blue Low <= inputBlue <= Blue High) && (Green Low <= inputGreen <= Green High) && (Red Low <= inputRed <= Red High)

InputEdit

SwisTrack BackgroundSubtractionColor.jpg

A color image.

OutputEdit

SwisTrack Threshold.png

A binary (black and white) image.

ParametersEdit

Blue LowEdit

Lower boundary of the blue channel.

Blue HighEdit

Higher boundary of the blue channel.

Green LowEdit

Lower boundary of the green channel.

Green HighEdit

Higher boundary of the green channel.

Red LowEdit

Lower boundary of the red channel.

Red HighEdit

Higher boundary of the red channel.