Index
IMAQVision for LabWindows/CVI User Manual I-2 ni.com
defining template images, 5-19 to 5-20
setting matching parameters and
tolerances, 5-22 to 5-24
colors core weight, 5-24
color sensitivity, 5-23
minimum contrast, 5-24
rotation angle ranges, 5-24
search strategy, 5-23 to 5-24
testing search algorithm on test images,
5-24 to 5-25
training pattern matching algorithm,
5-20 to 5-21
color statistics, 3-7 to 3-13
comparingcolors,3-8to3-9
learning color information, 3-9 to 3-13
choosing color representation
sensitivity, 3-12
choosing right color information,
3-9to3-10
ignoring learned colors, 3-13
specifyinginformationtolearn,
3-10 to 3-12
using entire image, 3-10
using multiple regions in image,
3-11 to 3-12
usingregioninimage,3-10to3-11
primary components of color image
(figure), 3-8
comparingcolors,3-8to3-9
contour, finding points along edge,
5-11 to 5-12
conventions used in manual, iv
converting array to image, 2-7
convolution filters, 2-10
coordinate reference for calibration, defining,
6-2t o 6-5
coordinate transform, building
choosing method (figure), 5-7
edge detection, 5-3 to 5-5
pattern matching, 5-5 to 5-6
coordinates, converting pixel to real-world,
4-7,5 -26
Coordinatesystem structure, 6-2
correction table,for calibration, 6-8
creating applications. Seeap plication
development.
creating images.See images.
customereducation, A-1
Ddestination images, 2-4 to 2-5
displaying
images,2-7
resultsof inspection process, 5-28 to 5-29
distancemeasurements, 5-26
distortion, correcting. See calibration.
documentation
conventions used in manual, iv
documentationresources and examples,
1-1to1-2
Eedge detection
building coordinate transform, 5-3 to 5-5
finding measurement points, 5-9 to 5-12
along multiple search contours, 5-12
along one search contour,
5-11 to 5-12
lines or circles, 5-9 to 5-11
errorm ap, for calibration, 6-8
FFast FourierT ransform (FFT),2 -11 to 2-13
filters
convolution, 2-10
highpass, 2-10
highpass frequency, 2-12
improving images, 2-10 to 2-11