Performs subtraction of the connected results (A-B).
Image Operations > Arithmetics > Multiply
Performs multiplication of the connected results (A*B).
Image Operations > Arithmetics > Divide
Performs division of the connected results (A/B).
Image Operations > Arithmetics > Average
Converts the connected channels to the intensity channel. Merged channels are taken as N channels, not 1.
Image Operations > Arithmetics > Minimum
Displays minimum of the connected results.
Image Operations > Arithmetics > Maximum
Displays maximum of the connected results.
Image Operations > Arithmetics > Covariance
Each pixel of the resulting image is calculated using two source images (A and B) as follows:
Figure 716.
where E[X] is mean value over all pixels. The covariance is then calculated as mean pixel value (Covariance). Resulting image is always floating point image.
Image Operations > Arithmetics > Mask Image
The connected color image is masked by the connected binary image.
Image Operations > Arithmetics > Remove Shading
Applies the input B image to the input A image as the shading correction image. Formula for each pixel (multiplicative shading correction): output = ( mean(A) / mean(A / B) ) * (A / B).
Clips the connected image based on the Min and Max values.
Image Operations > Constant > Constant Value
Each pixel of this action result gets the specified value (Constant).
Image Operations > Functions > Abs
Resulting image is an absolute value of the source.
Image Operations > Functions > Invert
Intensity value of each pixel is calculated as the maximal value in the image minus the current value.
Image Operations > Functions > Exp
Pixel exponentiation with the given Base .
Image Operations > Functions > Inv
Resulting image is an inversion of the source. Each pixel value is reciprocal (1/x) of the corresponding source pixel. Resulting image is always a floating point image.