DIPlib Documentation - ©1995-2017 Quantitative Imaging Group, Delft University of Technology.

LnNormError

difference measure

SYNOPSIS

dip_Error dip_LnNormError ( in1, in2, mask, out, order )

DATA TYPES

binary, integer, float, complex

FUNCTION

Calculates the order norm difference between each pixel value of in1 and in2. Optionally the mask image can be used to exclude pixels from the calculation by setting the value of these pixels in mask to zero.

ARGUMENTS

Data typeNameDescription
dip_Imagein1First input
dip_Imagein2Second input
dip_ImagemaskMask
dip_ImageoutOutput
dip_floatorderOrder

SEE ALSO

MeanError, MeanSquareError, RootMeanSquareError, MeanAbsoluteError, IDivergence