Image Acquisitionand Proces

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Image Acquisition 49 FIGURE 3.3 National Instruments icd Þle FTP site. FIGURE 3.4 MAX camera conÞguration. Depending on the hardware installed and the capabilities of your camera, you can set conÞguration parameters such as brightness, autoexposure, sharpness, white balance, saturation, gamma, shutter speed, gain and iris.
50 Image Acquisition Processing with LabVIEW FIGURE 3.5 MAX camera properties. FIGURE 3.6 IMAQ session properties. 3.2 ACQUISITION TYPES There are four image acquisition types supported in the Vision Toolkit: Snap, Grab, Sequence and StillColor. Although the type your application needs may at Þrst seem obvious, taking the time to understand the different types could save unnecessary development time and computation during postacquisition processing. NI-IMAQ image acquisition often uses information regarding the open IMAQ session. To determine a plethora of camera, image and session properties, you can
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IMAGE PROCESSING SERIES Series Edit
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Foreword The introduction of LabVIE
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FIGURE 1 Vision 6.1 FIGURE 2 Compan
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Acknowledgments My gratitude goes o
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Dedication To Don “old fella” P
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Contents Chapter 1 Image Types and
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Chapter 4 Displaying Images........
Page 22 and 23: Chapter 7 Image Analysis...........
Page 24 and 25: 1 Image Types and File Management F
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Page 38 and 39: 2 Setting Up You should never under
Page 40 and 41: Setting Up 17 FIGURE 2.3 (a) Interl
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Page 44 and 45: Setting Up 21 FIGURE 2.7 National I
Page 46 and 47: Setting Up 23 2.1.3.2 Control and I
Page 48 and 49: Setting Up 25 FIGURE 2.11 X-Ray ima
Page 50 and 51: Setting Up 27 Apple Computer techno
Page 52 and 53: Setting Up 29 FIGURE 2.17 An inexpe
Page 54 and 55: Setting Up 31 Although this would b
Page 56 and 57: Setting Up 33 134 -115 \ Contrast =
Page 58 and 59: Setting Up 35 resolution printer wi
Page 60 and 61: Setting Up 37 C A B C Traditional T
Page 62 and 63: Setting Up 39 Camera Light Source O
Page 64 and 65: Setting Up 41 Camera Light Source (
Page 66 and 67: Setting Up 43 FIGURE 2.37 (a) An ob
Page 68: Setting Up 45 FIGURE 2.41 (a) PCB p
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100 Image Acquisition Processing wi
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6 Morphology When applied to vision
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Morphology 143 I Closed { } = Erode
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Morphology 145 FIGURE 6.3 Simple mo
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Morphology 147 FIGURE 6.5 Custom st
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Morphology 149 FIGURE 6.8 Particle
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Morphology 151 FIGURE 6.12 Fill hol
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Morphology 153 FIGURE 6.17 Danielss
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Morphology 155 Detected circles wit
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Morphology 157 6.5 CASE STUDY: FIND
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Morphology 159 6.6 USER SOLUTION: D
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Morphology 161 ULTRASOUND MACHINE (
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Morphology 163 FIGURE 6.31 The Edit
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8 Machine Vision A generally accept
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Machine Vision 219 TABLE 8.1 “IMA
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Machine Vision 221 TABLE 8.3 Input
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Machine Vision 223 packages, includ
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Machine Vision 225 good sense to ad
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Machine Vision 227 TABLE 8.4 “IMA
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Glossary 1-Bit Image An image compr
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Glossary 231 binary display device
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Glossary 233 spatial Þlters, each
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Glossary 235 Resolution There are t
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