Details

<p>About the Authors ix</p> <p>Preface xi</p> <p><b>1 Basics of Machine Vision 1</b></p> <p>1.1 Digital Images 1</p> <p>1.1.1 Grayscale Image 1</p> <p>1.1.2 Binary Image 2</p> <p>1.1.3 Color Image 3</p> <p>1.2 Components of Imaging System 5</p> <p>1.2.1 Camera 6</p> <p>1.2.2 Camera Bus: The Method to Connect PC and Camera 10</p> <p>1.2.3 Lens 13</p> <p>1.2.4 Lighting 15</p> <p><b>2 Image Acquisition with LabVIEW 17</b></p> <p>2.1 Acquiring Images with MAX 17</p> <p>2.2 Acquiring Images Using LabVIEW 19</p> <p>2.2.1 IMAQdx Functions 19</p> <p>2.2.2 Image Management Functions 21</p> <p>2.2.3 Block Diagram for Image Acquisition 23</p> <p>2.2.4 Image Acquisition from Example 23</p> <p>2.2.5 Vision Acquisition Express 26</p> <p><b>3 Particle Analysis 33</b></p> <p>3.1 Particle Analysis Using Vision Assistant 34</p> <p>3.1.1 Image Acquisition Using Vision Assistant 35</p> <p>3.1.2 Image Processing Functions 37</p> <p>3.1.3 Setting a ROI (Region of Interest) 38</p> <p>3.1.4 Binary Image Conversion 40</p> <p>3.1.5 Morphology 43</p> <p>3.1.6 Particle Analysis 44</p> <p>3.2 LabVIEW Code Creation Using Vision Assistant 47</p> <p>3.2.1 Block Diagram of Created LabVIEW Code 50</p> <p>3.2.2 Image Type Modification 54</p> <p>3.3 LabVIEW Code Modification 55</p> <p>3.3.1 SubVI for Particle Analysis 55</p> <p>3.4 Particle Analysis Using Vision Express 67</p> <p>3.4.1 Vision Acquisition Express 67</p> <p>3.4.2 Vision Assistant Express 68</p> <p>3.5 Conversion of Pixels to Real-World Units 71</p> <p><b>4 Edge Detection 75</b></p> <p>4.1 Edge Detection via Vision Assistant 75</p> <p>4.2 LabVIEW Code for Edge Detection 78</p> <p>4.3 Vi for Real-time-based Edge Detection 81</p> <p>4.4 The Use of Vision Assistant Express for Real-Time Edge Detection 85</p> <p><b>5 Pattern Matching 89</b></p> <p>5.1 Pattern Matching Using Vision Assistant 90</p> <p>5.2 LabVIEW Code Creation and Modification 96</p> <p>5.3 Main VI for Pattern Matching 99</p> <p>5.4 Vision Assistant Express 101</p> <p><b>6 Color Pattern Matching 105</b></p> <p>6.1 Color Pattern Matching Using Vision Assistant Express 105</p> <p>6.1.1 Vision Acquisition Express 107</p> <p>6.1.2 Vision Assistant Express 108</p> <p>6.1.3 Main VI 112</p> <p><b>7 Dimension Measurement 117</b></p> <p>7.1 Dimension Measurement Using Vision Assistant Express 117</p> <p>7.1.1 Find Circular Edge Function 119</p> <p>7.1.2 Clamp Function 119</p> <p>7.1.3 Caliper Function 123</p> <p>7.2 Vi Creation for Dimension Measurement 126</p> <p>7.2.1 Vision Assistant Express VI for Dimension Measurement 126</p> <p>7.2.2 ROI Array 127</p> <p>7.2.3 Front Panel of Main Vi 129</p> <p>7.2.4 Block Diagram of the Main Vi 130</p> <p><b>8 Dimension Measurement Using Coordinate System 135</b></p> <p>8.1 Measurement Based on a Reference Coordinate System Using Vision Assistant Express 135</p> <p>8.1.1 Pattern Matching 137</p> <p>8.1.2 Coordinate System 138</p> <p>8.1.3 Dimension Measurement Using the Clamp Function 141</p> <p>8.1.4 Measurement of Circle Edge 142</p> <p>8.2 Conversion of Vision Assistant Express to a Standard Vi 145</p> <p><b>9 Geometric Matching 149</b></p> <p>9.1 Geometric Matching Using Vision Assistant Express 150</p> <p>9.1.1 Geometric Matching for Circles 151</p> <p>9.1.2 Geometric Matching for Ellipses 155</p> <p>9.2 Vi Creation for Geometric Matching 158</p> <p>9.3 Shape Detection 159</p> <p><b>10 Binary Shape Matching 165</b></p> <p>10.1 Accessing Previously Saved Images with Vision Acquisition Express 166</p> <p>10.2 Binary Shape Matching Using Vision Assistant 168</p> <p>10.2.1 Binary Template Images 169</p> <p>10.2.2 Binary Shape Matching 170</p> <p>10.3 Overlay VI Creation for Shape Matching 172</p> <p>10.4 Vi for Binary Shape Matching 173</p> <p><b>11 OCR (Optical Character Recognition) 177</b></p> <p>11.1 OCR Using Vision Assistant 177</p> <p>11.1.1 Character Training Using Vision Assistant 177</p> <p>11.1.2 Character Identification Using Vision Assistant 181</p> <p>11.2 VI for OCR 185</p> <p>11.2.1 VI Creation for OCR Using Vision Assistant 185</p> <p>11.2.2 SubVI for OCR 185</p> <p>11.2.3 Main VI 187</p> <p><b>12 Binary Particle Classification 191</b></p> <p>12.1 Vision Acquisition Express to Load Image Files 192</p> <p>12.2 Vision Assistant Express for Classification 194</p> <p>12.2.1 Train for Particle Classification 194</p> <p>12.2.2 Vi Creation 199</p> <p>12.3 Vi Modification 200</p> <p>12.4 Overlay for Classification 204</p> <p>12.5 Main VI for Classification 206</p> <p><b>13 Contour Analysis 209</b></p> <p>13.1 Contour Analysis 210</p> <p>13.1.1 Image Acquisition Using a USB Camera 210</p> <p>13.1.2 Contour Analysis Using Vision Assistant 212</p> <p>13.1.3 Defect Detection Using Curvature 215</p> <p>13.1.4 Defect Detection by Comparing Contours 216</p> <p>13.1.5 Vi Creation 219</p> <p>13.2 VIs for Contour Analysis 219</p> <p>13.2.1 Main Vi 219</p> <p>13.2.2 Overlay for Defects 222</p> <p>13.2.3 Perspective Errors in Images 225</p> <p><b>14 Image Calibration and Correction 227</b></p> <p>14.1 Method for Creating an Image Correction File 227</p> <p>14.1.1 Image Acquisition 228</p> <p>14.1.2 New Calibration File 228</p> <p>14.2 Image Correction 234</p> <p>14.2.1 Image Correction Using Vision Assistant Express 234</p> <p>14.2.2 VI Creation for Image Correction 237</p> <p><b>15 Saving and Reading Images 241</b></p> <p>15.1 Saving Image 241</p> <p>15.2 Image Read from File 245</p> <p>15.2.1 IMAQ Readfile 245</p> <p>15.2.2 Example of Reading Image from Image Files 246</p> <p><b>16 AVI File Write and Read 249</b></p> <p>16.1 AVI File Creation Using Image Files 249</p> <p>16.2 AVI File Creation Based on Real-Time Image Acquisition 251</p> <p>16.3 Read Frame from AVI Files 252</p> <p><b>17 Tracking 255</b></p> <p>17.1 Tracking with the Use of Vision Assistant 255</p> <p>17.2 VI Creation for Tracking Objects 259</p> <p><b>18 LabVIEW Machine Vision Applications* 263</b></p> <p>18.1 Semiconductor Manufacturing 263</p> <p>18.2 Automobile Industry 264</p> <p>18.3 Medical and Bio Applications 266</p> <p>18.4 Inspection 268</p> <p>18.5 Industrial Printing 269</p> <p><b>19 Student Projects 271</b></p> <p>Project 1: Noncontact Motion Measurement and its Analysis 271</p> <p>Project 2: Intelligent Surveillance Camera 271</p> <p>Project 3: Driving a LEGO NXT Car (LEGO Mindstorm) with Finger Motion 273</p> <p>Project 4: Piano Keyboard Using Machine Vision 273</p> <p>Index 275</p>

Kye-Si Kwon is an associate professor at Soonchunhyang University in Korea in the department of mechanical engineering. After his PhD, obtained from KAIST, Korea, in 1999, he was a member of research staffs in companies such as Samsung and LG electronics. He joined Soonchunhyang University in 2006 where his teaching and research is centered on inkjet-related measurement methods and system developments. In 2012, he spent one year at Palo Alto Research Center (PARC) in Palo Alto, California, as a visiting researcher. He also established a start-up company and is CEO of PS. Co. Ltd (www.psolution.kr).<br> <br> Steven Ready joined the Palo Alto Research Center more than two decades ago, where he designed and developed several high-accuracy inkjet printers for printed organic electronics and documents; studied the role of hydrogen in amorphous, polycrystalline, and crystalline silicon and associated applications; and contributed to the development of large-area amorphous and polycrystalline silicon arrays for optical and x-ray imaging, displays, and organic semiconductor materials and devices. Steven Ready has also made significant contributions to developing laser crystallization of silicon thin films; a fragile book scanner; control software for MOCVD reactors; and a scanning tunneling microscope. He is a member of the SPIE, MRS, and IS&T professional societies. He obtained his degree in Physics from the University of California at Santa Cruz.

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