HDevelop User's Manual

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96 CHAPTER 5. PROGRAM EXAMPLES Figure 5.2: Segmentation result for stamps. The area boundaries are very blurred and even a human viewer has difficulties recognizing them. At first glance it seems very difficult to find a segmentation criterion: There is neither a clear edge nor a significant difference between the gray values of both areas. Thus it is not very promising to use an edge operator or a threshold operation. One solution of this problem makes use of the different textures within the areas: Cells are more textured than the part which is supplied with blood. To emphasize this difference you can use a texture transformation by Laws. Texture transformations are linear filters that intensify certain frequencies which are typical for the requested texture. The corresponding HALCON operator is ØÜØÙÖ ÐÛ×. You have to specify the filter size and type. Both attributes determine the frequency properties. In this program the filter ³Ð³ with mask size 5 ¢ 5 is used. It performs a derivation in vertical direction and a smoothing in horizontal direction. Thus structures in vertical direction are intensified. You cannot directly use the computed result of ØÜØÙÖ ÐÛ× (see <strong>HDevelop</strong> / 2000-11-16
5.2. CAPILLARY VESSEL 97 Figure 5.3: Capillary vessel (left) and texture transformation (right). figure 5.3 right), because it is too speckled. Therefore you must generalize the texture image by ameanfilter(ÑÒ Ñ). From this you obtain the so called texture energy (figure 5.4 left). Figure 5.4: Capillary vessel texture energy (left) and segmentation (right). The filter mask is chosen very large within this program. The mask size for the horizontal direction is 211 and 61 for the vertical direction. The asymmetry is used, because the vessel is nested in horizontal direction. From this you obtain an image with an upper and lower part that is brighter than that in the middle. ÖÑ ´ÁÑ¸ ³Ú××Ð³µ ØÜØÙÖÐÛ× ´ÁÑ¸ ÌÜØÙÖ¸ ³Ð³¸ ¸ µ ÑÒÑ ´ÌÜØÙÖ¸ ÒÖÝ¸ ¾½½¸ ½µ ÒØÖ×ÓÐ ´ÒÖÝ¸ Î××Ðµ To separate these areas you just have to find the appropriate threshold. In this case — we have only two types of textures — the threshold can be found automatically. This is done by the operator Ò ØÖ×ÓÐ, which also applies the resulting threshold and thus extracts the vessel. The right side of figure 5.4 shows the result of the segmentation. HALCON 6.0
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HALCON Version 6.0 MVTec Software G
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About This Manual This manual is a
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Contents 1 Introducing HDevelop 1 1
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Contents iii comment . . . . . . .
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Chapter 1 Introducing HDevelop In f
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1.2. EXAMPLE SESSION 3 Figure 1.1:
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1.2. EXAMPLE SESSION 5 Figure 1.2:
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1.3. ADDITIONAL SOURCES OF INFORMAT
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Chapter 2 Graphical User Interface
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2.3. MAIN WINDOW 11 Figure 2.1: The
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2.3. MAIN WINDOW 13 A security chec
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2.3. MAIN WINDOW 15 a directory whe
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2.3. MAIN WINDOW 17 Figure 2.7: The
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2.3. MAIN WINDOW 19 and not HDevelo
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2.3. MAIN WINDOW 21 Figure 2.10: Ma
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2.3. MAIN WINDOW 23 2.3.2.4 The Men
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2.3. MAIN WINDOW 25 Figure 2.13: On
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2.3. MAIN WINDOW 27 in a graphics w
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2.3. MAIN WINDOW 29 Figure 2.16: On
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2.3. MAIN WINDOW 31 Figure 2.17: Co
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2.3. MAIN WINDOW 33 Figure 2.18: Se
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2.3. MAIN WINDOW 35 Figure 2.20: Se
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2.3. MAIN WINDOW 37 Figure 2.23: Ex
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2.3. MAIN WINDOW 39 output paramete
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2.3. MAIN WINDOW 41 is registered i
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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: 5.2. CAPILLARY VESSEL 95 ÚÐÓ×Û
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 and 112: 5.5. BONDING 103 Figure 5.9: Exampl
Page 113 and 114: 5.7. DEVICES 105 Figure 5.11: Calib
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
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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
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28 APPENDIX B. DEVELOP If ÊÓÛ½
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30 APPENDIX B. DEVELOP Ú ×Ø ÛÒ
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32 APPENDIX B. DEVELOP Possible Suc
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34 APPENDIX B. DEVELOP See Also Ú
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36 APPENDIX B. DEVELOP HDevelop / 2
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38 APPENDIX C. GLOSSARY Operator wi
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40 Index Ú ×Ø ÔÖØ, 27, 39 Ú
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42 Index Operator Data base, 37 Nam
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44 Index HDevelop / 2000-11-16
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