HDevelop User's Manual

More documents

Recommendations

Info

104 CHAPTER 5. PROGRAM EXAMPLES Figure 5.10: Detected bonding positions. ÆÙÑÐÐ× ÊÙ× ÑØÖ ¾ÊÙ× ÅÒÑØÖ ×ÙÑ´ÑØÖµ»ÆÙÑÐÐ× ÅÒÑØÖ ÑÒ´ÑØÖµ Diameter, MeanDiameter and MinDiameter are some examples for calculations possible with <strong>HDevelop</strong>. 5.6 Calibration Board File name: ÐºÚ This example works with the image of a calibration board. It is used to specify the internal parameters of a CCD camera. Therefore, you have to extract the circles on the board (see left side of figure 5.11). This example describes an interesting operator. It is called ÖÝ Ò× and is a so-called fuzzy operator. In this case, fuzzy means that the value of each pixel is not interpreted as gray value but as the affiliation to a certain class. The bigger the number (max. 1), the stronger the affiliation. 1 By applying ÖÝ Ò× to an image every pixel value is interpreted as the “potential energy” you have to afford to get from the pixel position to the image border. The dark pixels present valleys and the bright pixels mountains. Thus a dark region in the middle of an image is equivalent to a hole in a mountain that needs a lot of energy to be left. This is also true for the dark circles on the bright background in the image of the calibration board. Before calling ÖÝ Ò× you should use a smoothing filter to suppress small valleys. This reduces runtime considerably. If you look at the operator result on the right side of figure 5.11 you will notice the circles as significant bright points. Now a simple thresholding is sufficient to extract them. 1 In HALCON the range of 0 to 1 is mapped to values of a byte image (0 to 255). <strong>HDevelop</strong> / 2000-11-16
5.7. DEVICES 105 Figure 5.11: Calibration board and ÖÝ Ò× result. ÖÑ ´ÐØ¸ ³ÐØ³µ Ù××Ñ ´ÐØ¸ ÁÑÙ××¸ µ ÖÝÒ× ´ÁÑÙ××¸ ÁÑ×Øµ ØÖ×ÓÐ ´ÁÑ×Ø¸ ÖØ¸ ½½¼¸ ¾µ ÓÒÒØÓÒ ´ÖØ¸ ÖÐ×µ ÐÐÔØÜ× ´ÖÐ×¸ Ê¸ Ê¸ Èµ After calculating the ellipse parameters of each circle (ÐÐÔØ Ü×), you may compute the camera parameters. 5.7 Devices File name: ºÚ This example discusses the combination of different segmentation methods. It works with an image of multiple electronic components. These differ in shape, size and arrangement. The left side of figure 5.12 shows the input image. First you extract resistors and capacitors. This is quite simple because you have a color image and both component types have different colors. The input image consists of three channels containing the red, green, and blue channels. Since segmentation in the RGB space is difficult, you have to transform the image into the HSV space. Here the color information is stored in one single channel. The right side of figure 5.12 shows the image representation in this channel (Hue). Elements that are too small can be eliminated via ×ÐØ ×Ô. The program sequence to extract resistors and capacitors is shown below: HALCON 6.0
Page 1 and 2:
HALCON Version 6.0 MVTec Software G
Page 3 and 4:
About This Manual This manual is a
Page 5 and 6:
Contents 1 Introducing HDevelop 1 1
Page 7 and 8:
Contents iii comment . . . . . . .
Page 9 and 10:
Chapter 1 Introducing HDevelop In f
Page 11 and 12:
1.2. EXAMPLE SESSION 3 Figure 1.1:
Page 13 and 14:
1.2. EXAMPLE SESSION 5 Figure 1.2:
Page 15 and 16:
1.3. ADDITIONAL SOURCES OF INFORMAT
Page 17 and 18:
Chapter 2 Graphical User Interface
Page 19 and 20:
2.3. MAIN WINDOW 11 Figure 2.1: The
Page 21 and 22:
2.3. MAIN WINDOW 13 A security chec
Page 23 and 24:
2.3. MAIN WINDOW 15 a directory whe
Page 25 and 26:
2.3. MAIN WINDOW 17 Figure 2.7: The
Page 27 and 28:
2.3. MAIN WINDOW 19 and not HDevelo
Page 29 and 30:
2.3. MAIN WINDOW 21 Figure 2.10: Ma
Page 31 and 32:
2.3. MAIN WINDOW 23 2.3.2.4 The Men
Page 33 and 34:
2.3. MAIN WINDOW 25 Figure 2.13: On
Page 35 and 36:
2.3. MAIN WINDOW 27 in a graphics w
Page 37 and 38:
2.3. MAIN WINDOW 29 Figure 2.16: On
Page 39 and 40:
2.3. MAIN WINDOW 31 Figure 2.17: Co
Page 41 and 42:
2.3. MAIN WINDOW 33 Figure 2.18: Se
Page 43 and 44:
2.3. MAIN WINDOW 35 Figure 2.20: Se
Page 45 and 46:
2.3. MAIN WINDOW 37 Figure 2.23: Ex
Page 47 and 48:
2.3. MAIN WINDOW 39 output paramete
Page 49 and 50:
2.3. MAIN WINDOW 41 is registered i
Page 51 and 52:
2.3. MAIN WINDOW 43 ËÙ×ØÓÒ×
Page 53 and 54:
2.3. MAIN WINDOW 45 ÏÒÓÛ º ×
Page 55 and 56:
2.3. MAIN WINDOW 47 Figure 2.31: Th
Page 57 and 58:
2.5. OPERATOR WINDOW 49 The program
Page 59 and 60:
2.5. OPERATOR WINDOW 51 Please refe
Page 61 and 62: 2.6. VARIABLE WINDOW 53 operator ha
Page 63 and 64: 2.6. VARIABLE WINDOW 55 aspect rati
Page 65 and 66: 2.7. GRAPHICS WINDOW 57 Figure 2.38
Page 67 and 68: Chapter 3 Language The following ch
Page 69 and 70: 3.2. CONTROL TYPES AND CONSTANTS 61
Page 71 and 72: 3.4. OPERATIONS ON ICONIC OBJECTS 6
Page 73 and 74: 3.5. EXPRESSIONS FOR INPUT CONTROL
Page 85 and 86: 3.6. RESERVED WORDS 77 ÓÖ, ÜÓÖ
Page 87 and 88: 3.8. LIMITATIONS 79 In the followin
Page 89 and 90: Chapter 4 Code Generation The idea
Page 91 and 92: 4.1. CODE GENERATION FOR C++ 83 Ì
Page 93 and 94: 4.1. CODE GENERATION FOR C++ 85 tha
Page 95 and 96: 4.2. CODE GENERATION FOR VISUAL BAS
Page 97 and 98: 4.3. CODE GENERATION FOR C 89 4.3 C
Page 99 and 100: 4.4. GENERAL ASPECTS OF CODE GENERA
Page 101 and 102: Chapter 5 Program Examples This cha
Page 103 and 104: 5.2. CAPILLARY VESSEL 95 ÚÐÓ×Û
Page 105 and 106: 5.2. CAPILLARY VESSEL 97 Figure 5.3
Page 107 and 108: 5.3. PARTICLES 99 each. Now it is e
Page 109 and 110: 5.4. ANNUAL RINGS 101 ÚÐÖÛÒÓ
Page 111: 5.5. BONDING 103 Figure 5.9: Exampl
Page 115 and 116: 5.7. DEVICES 107 Figure 5.13: Resis
Page 117 and 118: 5.8. CELL WALLS 109 Figure 5.15: Mi
Page 119 and 120: 5.10. EXCEPTION HANDLING 111 Figure
Page 121 and 122: 5.11. ROAD SCENE 113 any case. All
Page 123 and 124: 5.11. ROAD SCENE 115 tures. Hence a
Page 125 and 126: Chapter 6 Miscellaneous This chapte
Page 127 and 128: 6.5. RESTRICTIONS 119 Figure 6.1: E
Page 129 and 130: 2 APPENDIX A. CONTROL ÌÙÔÐ½
Page 131 and 132: 4 APPENDIX A. CONTROL Attention For
Page 133 and 134: 6 APPENDIX A. CONTROL Result retur
Page 135 and 136: 8 APPENDIX A. CONTROL ÚÙÔØÛÒ
Page 137 and 138: 10 APPENDIX A. CONTROL HDevelop / 2
Page 139 and 140: 12 APPENDIX B. DEVELOP Attention If
Page 141 and 142: 14 APPENDIX B. DEVELOP Ú ÓÔÒ Û
Page 143 and 144: 16 APPENDIX B. DEVELOP Ú Ò×ÔØ
Page 145 and 146: 18 APPENDIX B. DEVELOP Parallelizat
Page 147 and 148: 20 APPENDIX B. DEVELOP º ÀØ (inp
Page 149 and 150: 22 APPENDIX B. DEVELOP ’black’
Page 151 and 152: 24 APPENDIX B. DEVELOP Parameter º
Page 153 and 154: 26 APPENDIX B. DEVELOP Parameter º
Page 155 and 156: 28 APPENDIX B. DEVELOP If ÊÓÛ½
Page 157 and 158: 30 APPENDIX B. DEVELOP Ú ×Ø ÛÒ
Page 159 and 160: 32 APPENDIX B. DEVELOP Possible Suc
Page 161 and 162: 34 APPENDIX B. DEVELOP See Also Ú
Page 163 and 164:
36 APPENDIX B. DEVELOP HDevelop / 2
Page 165 and 166:
38 APPENDIX C. GLOSSARY Operator wi
Page 167 and 168:
40 Index Ú ×Ø ÔÖØ, 27, 39 Ú
Page 169 and 170:
42 Index Operator Data base, 37 Nam
Page 171:
44 Index HDevelop / 2000-11-16
show all

HDevelop User's Manual

Create successful ePaper yourself

Delete template?

Save as template?