National Instruments IMAQ Vision, Руководство пользователя

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Glossary
© National Instruments Corporation G-13 IMAQ Vision for LabWindows/CVI User Manual
match score A number ranging from 0 to 1000 that indicates how closely an acquired
image matches the template image. A match score of 1000 indicates a
perfect match. A match score of 0 indicates no match.
median filter A lowpass filter that assigns to each pixel the median value of its neighbors.
This filter effectively removes isolated pixels without blurring the contours
of objects.
memory buffer See buffer .
morphological
transformations Extract and alter the structure of objects in an image. You can use these
transformations for expanding (dilating) or reducing (eroding) objects,
filling holes, closing inclusions, or smoothing borders. They are used
primarily to delineate objects and prepare them for quantitative inspection
analysis.
MSB Most significant bit.
M-skeleton function Uses an M-shaped structuring element in the skeleton function.
N
neighbor A pixel whose value affects the value of a nearby pixel when an image is
processed. The neighbors of a pixel are usually defined by a kernel or a
structuring element.
neighborhood
operations Operations on a point in an image that take into consideration the values of
the pixels neighboring that point.
NI-IMAQ Driver software for National Instruments IMAQ hardware.
nonlinear filter Replaces each pixel value with a nonlinear function of its surrounding
pixels.
nonlinear gradient filter A highpass edge-extraction filter that favors vertical edges.
nonlinear Prewitt filter A highpass, edge-extraction filter based on two-dimensional gradient
information.
nonlinear Sobel filter A highpass, edge-extraction filter based on two-dimensional gradient
information. The filter has a smoothing effect that reduces noise
enhancements caused by gradient operators.