National Instruments IMAQ Vision for Measurement Studio - Manual (Page 104)

Glossary
© National Instruments Corporation G-17 IMAQ Vision for LabWindows/CVI User Manual
rotation-invariant
matching A pattern matching technique in which the reference pattern can be located
at any orientation in the test image as well as rotated at any degree.
S
saturation The amount of white added to a pure color. Saturation relates to the richness
of a color. A saturation of zero corresponds to a pure color with no white
added. Pink is a red with low saturation.
scale-invariant
matching A pattern matching technique in which the reference pattern can be any size
in the test image. See shape matching.
segmentation function Fully partitions a labeled binary image into non-overlapping segments,
with each segment containing a unique object.
separation function Separates objects that touch each other by narrow isthmuses.
shape matching Finds objects in an image whose shape matches the shape of the object
specified by a shape template. The matching process is invariant to rotation
and can be set to be invariant to the scale of the objects.
shift-invariant
matching A pattern matching technique in which the reference pattern can be located
anywhere in the test image but cannot be rotated or scaled.
Sigma filter A highpass filter that outlines edges.
skeleton function Applies a succession of thinning operations to an object until its width
becomes one pixel.
skiz function Obtains lines in an image that separate each object from the others and are
equidistant from the objects that they separate.
smoothing filter Blurs an image by attenuating variations of light intensity in the
neighborhood of a pixel.
Sobel filter Extracts the contours (edge detection) in gray-level values using a
3
× 3 filter kernel. See gradient filter.
spatial calibration Assigning physical dimensions to the area of a pixel in an image.
spatial filters Alter the intensity of a pixel with respect to variations in intensities of its
neighboring pixels. You can use these filters for edge detection, image
enhancement, noise reduction, smoothing, and so forth.