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<5. Functions of CQ1 Software>
5-131
IM 80J01A01-01E
③
Addition of Image Processing Method
Click ”+” button to show the list of image processing methods
which are usable within the processing group. The selected
method will be added at the end of the group.
Group
Method Name
Description
ImageFilter
MeanImage
Average images by mean value
Sobel
Acquire Sobel image as the primary
differential value,
Laplace
Acquire Laplace image as the secondary
differential value,
Gaussian
Process linear convolution by Gaussian
mask
DilationImage
Dilate images
ErosionImage
Erode images
MedianImage
Average images by median value
ThresholdTruncation
Change value over threshold to threshold
value
ThresholdToZero
Change value under threshold to
“0”
AddImage
Add images
AddSImage
Add defined value to images
SubImage
Subtract images
SubSImage
Subtract defined value from images
MulImage
Multiply images
MulSImage
Multiply images by defined value
DivImage
Divide images
DivSImage
Divide images by defined value
Binarization
Threshold
Binarize all images with the same
threshold
ThresholdOtsu
Binarize all images with a fixed threshold
calculated by Otu
’s method.
AdaptiveThreshold
Binarize images with variable threshold
according to image location
ThresholdSigma
Binarize images with fixed threshold
calculated from the standard deviation of
background image
AdaptiveSigmaThresh
old
Binarize with dynamic thresholds
calculated from the standard deviation of
background image
BinarizeTransform
DilationCircle
Dilate binarized region in a circular shape
DilationRectangle
Dilate binarized reign in a rectangular
shape
ErosionCircle
Erode binarized region in a circular shape
ErosionRectangle
Erode binarized region in a rectangular
shape
ClosingCircle
Close circularly dilated binarized region
ClosingRectangle
Close rectangular dilated binarized region
OpeningCircle
Open circularly eroded binarized region
OpeningRectangle
Open rectangular eroded binarized region
FindMaximumDistance
Obtain maximum metric value of from
background
FindMaximumImage
Obtain maxmal value in binalized region
OrImage
Obtain union of two binarized regions
Skeleton3D
Extract center line of binarized region
Pruning3D
Remove branches of extracted center line
AndImage
Obtain cross union of two binarized
regions
XorImage
Obtain symmetric difference set of two
binarized regions
Summary of Contents for CQ1
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