Index
IMAQ Vision 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
color score 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
comparing colors, 3-8 to 3-9
learning color information, 3-9 to 3-13
choosing color representation
sensitivity, 3-12
choosing right color information,
3-9 to 3-10
ignoring learned colors, 3-13
specifying information to learn,
3-10 to 3-12
using entire image, 3-10
using multiple regions in image,
3-11 to 3-12
using region in image, 3-10 to 3-11
primary components of color image
(figure), 3-8
comparing colors, 3-8 to 3-9
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,
6-2 to 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.
See
application
development.
creating images.
See
images.
customer education, A-1
D
destination images, 2-4 to 2-5
displaying
images, 2-7
results of inspection process, 5-28 to 5-29
distance measurements, 5-26
distortion, correcting.
See
calibration.
documentation
conventions used in manual, iv
documentation resources and examples,
1-1 to 1-2
E
edge 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
error map, for calibration, 6-8
F
Fast Fourier Transform (FFT), 2-11 to 2-13
filters
convolution, 2-10
highpass, 2-10
highpass frequency, 2-12
improving images, 2-10 to 2-11
