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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
- Page 18 and 19: Contents Chapter 1 Image Types and
- Page 20 and 21: Chapter 4 Displaying Images........
- Page 22 and 23: Chapter 7 Image Analysis...........
- Page 24 and 25: 1 Image Types and File Management F
- Page 26 and 27: Image Types and File Management 3 F
- Page 28 and 29: Image Types and File Management 5 A
- Page 30 and 31: Image Types and File Management 7 C
- Page 32 and 33: Image Types and File Management 9 p
- Page 34 and 35: Image Types and File Management 11
- Page 36 and 37: Image Types and File Management 13
- Page 38 and 39: 2 Setting Up You should never under
- Page 40 and 41: Setting Up 17 FIGURE 2.3 (a) Interl
- Page 42 and 43: Setting Up 19 Linear Aray Light Sou
- 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 70 and 71: 3 Image Acquisition There are two m
- Page 72 and 73: Image Acquisition 49 FIGURE 3.3 Nat
- Page 74 and 75: Image Acquisition 51 use a property
- Page 76 and 77: Image Acquisition 53 frames to acqu
- Page 78 and 79: Image Acquisition 55 FIGURE 3.15 Si
- Page 80 and 81: Image Acquisition 57 source LabVIEW
- Page 82 and 83: Image Acquisition 59 3.5 OTHER THIR
- Page 84 and 85: Image Acquisition 61 FIGURE 3.20 Th
- Page 86 and 87: Image Acquisition 63 industry-stand
- Page 88 and 89: 4 Displaying Images Although not al
- Page 90 and 91: Displaying Images 67 FIGURE 4.3 Sim
- Page 92 and 93: Displaying Images 69 FIGURE 4.7 Pic
- Page 94 and 95: Displaying Images 71 FIGURE 4.11 Pi
- Page 96 and 97: Displaying Images 73 FIGURE 4.16 Em
- Page 98 and 99: Displaying Images 75 FIGURE 4.19 Si
- Page 100 and 101: Displaying Images 77 FIGURE 4.24 Im
- Page 102 and 103: Displaying Images 79 FIGURE 4.27 Ov
- Page 104 and 105: Displaying Images 81 Vision Tools I
- Page 106 and 107: Displaying Images 83 FIGURE 4.37 Vi
- Page 108 and 109: 5 Image Processing Once you have ac
- Page 110 and 111: Image Processing 87 FIGURE 5.3 A li
- Page 112 and 113: Image Processing 89 FIGURE 5.7 Oval
- Page 114 and 115: Image Processing 91 Outer Radius Dr
- Page 116 and 117: Image Processing 93 attributes. The
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Image Processing 95 Source Image Gl
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Image Processing 97 FIGURE 5.20 Man
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Image Processing 99 As examples of
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Image Processing 101 calculated dyn
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Image Processing 103 Six-pixel conn
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Image Processing 105 FIGURE 5.24 Ad
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Image Processing 107 FIGURE 5.29 Su
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Image Processing 109 attempting ima
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Image Processing 111 FIGURE 5.37 Im
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Image Processing 113 5.6 OTHER TOOL
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Image Processing 115 5.6.2 ROTATE I
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Image Processing 117 FIGURE 5.46 Un
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Image Processing 119 Consider a gra
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Image Processing 121 0 0 0 0 0 0 10
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Image Processing 123 For example, t
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Image Processing 125 5.7 USER SOLUT
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Image Processing 127 FIGURE 5.58 Us
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Image Processing 129 map the mouse
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Image Processing 131 Þlter. To avo
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Image Processing 133 Unlike a smoot
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Image Processing 135 FIGURE 5.67 5
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Image Processing 137 (a) FIGURE 5.7
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Image Processing 139 FIGURE 5.74 On
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142 Image Acquisition Processing wi
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144 Image Acquisition Processing wi
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146 Image Acquisition Processing wi
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148 Image Acquisition Processing wi
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150 Image Acquisition Processing wi
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152 Image Acquisition Processing wi
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154 Image Acquisition Processing wi
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156 Image Acquisition Processing wi
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158 Image Acquisition Processing wi
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160 Image Acquisition Processing wi
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162 Image Acquisition Processing wi
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7 Image Analysis Image analysis is
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Image Analysis 167 FIGURE 7.4 (a) H
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Image Analysis 169 ( T00 ¥ S00 ) +
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Image Analysis 171 7.1.3 A PRACTICA
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Image Analysis 173 TABLE 7.2 “Lea
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Image Analysis 175 7.2 USER SOLUTIO
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Image Analysis 177 FIGURE 7.14 Fron
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Image Analysis 179 FIGURE 7.17 Conv
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Image Analysis 181 7.3.3 FILLING IM
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Image Analysis 183 7.4 USER SOLUTIO
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Image Analysis 185 FIGURE 7.28 An i
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Image Analysis 187 7.4.4 HISTOGRAMS
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Image Analysis 189 7.5 USER SOLUTIO
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Image Analysis 191 The Resting Prev
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Image Analysis 193 FIGURE 7.39 Patt
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Image Analysis 195 FIGURE 7.42 Clos
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Image Analysis 197 is detected as a
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Image Analysis 199 distance between
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Image Analysis 201 FIGURE 7.54 Pixe
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Image Analysis 203 in the array wou
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Image Analysis 205 FIGURE 7.62 Conc
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Image Analysis 207 7.8 USER SOLUTIO
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Image Analysis 209 7.8.4 SINGLE POI
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Image Analysis 211 7.9 ANALYTICAL G
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Image Analysis 213 FIGURE 7.72 Line
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Image Analysis 215 FIGURE 7.76 Wren
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218 Image Acquisition Processing wi
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220 Image Acquisition Processing wi
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222 Image Acquisition Processing wi
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224 Image Acquisition Processing wi
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226 Image Acquisition Processing wi
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234 Image Acquisition Processing wi
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Bibliography TEXTS IMAQ Vision Conc
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Index A aberration, see DOF acquisi
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Index 241 types, 1 Image Toolbox, T
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Index 243 depth, 2 radius (line fit