National Instruments IMAQTM User Manual page 102

Vision for visual basic
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edge steepness
energy center
equalize function
erosion
exponential and
gamma corrections
exponential function
F
FFT
fiducial
Fourier transform
frequency filters
ft
function
G
gamma
gradient convolution
filter
© National Instruments Corporation
The number of pixels that corresponds to the slope or transition area
of an edge.
The center of mass of a grayscale image. See
See
histogram
equalization.
Reduces the size of an object along its boundary and eliminates isolated
points in the image.
Expand the high gray-level information in an image while suppressing low
gray-level information.
Decreases brightness and increases contrast in bright regions of an image,
and decreases contrast in dark regions of an image.
Fast Fourier Transform. A method used to compute the Fourier transform
of an image.
A reference pattern on a part that helps a machine vision application find
the part's location and orientation in an image.
Transforms an image from the spatial domain to the frequency domain.
The counterparts of spatial filters in the frequency domain. For images,
frequency information is in the form of spatial frequency.
Feet.
A set of software instructions executed by a single line of code that may
have input and/or output parameters and returns a value when executed.
The nonlinear change in the difference between the video signal's
brightness level and the voltage level needed to produce that brightness.
See
gradient
filter.
G-5
IMAQ Vision for Visual Basic User Manual
center of
mass.
Glossary

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