National Instruments IMAQ Vision for Measurement Studio User Manual

Page 112

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Index

IMAQ Vision for LabWindows/CVI User Manual

I-6

ni.com

imaqWriteVisionFile() function, 5-15,

5-25, 6-10

imgInterfaceOpen() function, 2-6
imgSessionOpen() function, 2-6
imgSnap() function, 2-6
instrument reader measurements, 5-27 to 5-28
invalidation of calibration, 6-8

L

learning calibration information, 6-5 to 6-8

choosing learning algorithm, 6-6 to 6-7
choosing ROI, 6-6
correction table, 6-8
error map, 6-8
invalidation of calibration, 6-8
setting scaling method, 6-8
specifying scaling factors, 6-6
using learning score, 6-6 to 6-8

learning color information, 3-9 to 3-13

choosing color representation

sensitivity, 3-12

choosing right color information,

3-9 to 3-10

entire image, 3-10
ignoring learned colors, 3-13
multiple regions in image, 3-11 to 3-12
region in image, 3-10 to 3-11
specifying information to learn,

3-10 to 3-12

learning template images

color pattern matching, 5-20 to 5-21
pattern matching, 5-15

Line tool (table), 3-2
lines, finding points along edge, 5-9 to 5-11
locating objects to inspect. See machine

vision.

lookup table transformations, 2-9 to 2-10
lowpass filters, 2-10

lowpass frequency filters

attenuation, 2-12
truncation, 2-12

M

machine vision, 5-1 to 5-29

converting pixels coordinates to

real-world coordinates, 5-26

defining region of interest for search area,

5-8 to 5-9

interactively, 5-8
programmatically, 5-9

displaying results, 5-28 to 5-29
finding measurement points, 5-9 to 5-25

color location, 5-25
color pattern matching, 5-18 to 5-25
edge detection, 5-9 to 5-12
pattern matching, 5-13 to 5-18

locating objects to inspect, 5-2 to 5-7

choosing method for building

coordinate transform (figure), 5-7

edge detection for building

coordinate transform, 5-3 to 5-5

pattern matching for building

coordinate reference, 5-5 to 5-6

making measurements, 5-26 to 5-28

analytic geometry

measurements, 5-27

distance measurements, 5-26
instrument reader measurements,

5-27 to 5-28

overview, 5-1 to 5-2
steps for performing (figure), 5-2

Machine Vision function tree, 1-4
masks, for defining regions of interest,

3-6 to 3-7

measurement points, finding, 5-9 to 5-25

color location, 5-25
color pattern matching, 5-18 to 5-25
edge detection, 5-9 to 5-25

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