Denso RC5 Specifications Page 145

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Chapter 5 Vision Control
5-5
[ 3 ] Binarization Level Detection
Mode Method
If the histogram of an image forms a double-humped distribution, which has
two peaks corresponding to the object shape and the background, the method
used to set the binarizatioin level (t) to the valley section (t) which lies between
the two humps is called a mode method.
Since the µVision board detects the peak and valley in the histogram in the
direction from brightness value 0 to 255, as shown in Fig. 5-8, point t is
regarded as the valley and the board sets it as the binarization level.
Fig. 5-8 Binarization Level Due to Mode Method
Discrimination Analysis Method
In an image histogram, you divide the brightness value into black and white
sections with the binarization level K. The method of determining the
binarization level K by using the statistical method to clearly divide the 2
sections is called the discrimination analysis method.
If a image does not have a double-humped distribution histogram, the mode
method described above is inappropriate. You can determine the optimal
threshold value with the discrimination analysis method instead.
Fig. 5-9 Binarizatioin Level by Discrimination Analysis Method
0 k 255
Number of
pixels
Brightness value
Number of pixels
0
Detection direction
255
Brightness value
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