HDevelop User's Manual

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100 CHAPTER 5. PROGRAM EXAMPLES ÐØÓÒÖÐ ´ÄÖ¸ ÄÖÐØÓÒ¸ ºµ ÓÑÔÐÑÒØ ´ÄÖÐØÓÒ¸ ÆÓØÄÖµ ÖÙÓÑÒ ´ÈÖØÐ¸ ÆÓØÄÖ¸ ÈÖØÐÊµ ÑÒÑ ´ÈÖØÐÊ¸ ÅÒ¸ ¿½¸ ¿½µ ÝÒØÖ×ÓÐ ´ÈÖØÐÊ¸ ÅÒ¸ ËÑÐÐ¸ ¿¸ ³ÐØ³µ This method shows two advantages: First, the (reliable) model of the large particles can be used to extract the small ones. This increases the quality of the segmentation. Second, the processing speed is increased, as the second segmentation works only on a part of the image data. The right side of figure 5.6 shows the segmentation result. Unfortunately, the image still contains noise. To remove it, you may either sort out noisy objects by their area as described above, or by an opening operation. We prefer the second method as it additionally smooths the object edges. ÓÔÒÒÖÐ ´ËÑÐÐ¸ ËÑÐÐÐÒ¸ ¾ºµ Here, a circle is used as the structuring element of the opening operation. The operator preserves regions only that may at least cover a circle of radius 2.5. Smaller regions are eliminated. Figure 5.7: Noise-removed segmentation (left) and final result (right). Figure 5.7 shows the result of the segmentation with noise removal on the left side. The right side contains the final result. Finally, we would like to show within this example how to select regions with the mouse interactively. At this, a loop is executed until you press the middle or right mouse button. When pressing a mouse button, the operator Ø ÑÙØØÓÒ returns the button that was pressed and the position (coordinates) where it was pressed. This information is used to select the chosen object. In the following you see the corresponding program part: <strong>HDevelop</strong> / 2000-11-16
5.4. ANNUAL RINGS 101 ÚÐÖÛÒÓÛ ´ÏÒÓÛÁµ ÓÒÒØÓÒ ´ËÑÐÐÐÒ¸ ËÑÐÐËÒÐµ ÙØØÓÒ ½ Ú×ØÓÐÓÖ ´³Ö³µ ÛÐ ´ÙØØÓÒ ½µ ØÑÙØØÓÒ ´ÏÒÓÛÁ¸ ÊÓÛ¸ ÓÐÙÑÒ¸ ÙØØÓÒµ ×ÐØÖÓÒÔÓÒØ ´ËÑÐÐËÒÐ¸ ÇÒÇØ¸ ÊÓÛ¸ ÓÐÙÑÒµ ÒØÒ×ØÝ ´ÇÒÇØ¸ ÈÖØÐ¸ ÅÒÖÝ¸ ÚØÓÒµ ÒÛÐ First, the window is cleared via Ú ÐÖ ÛÒÓÛ. After that, ÓÒÒØÓÒ calculates all connected components to allow the selection of single regions. This also displays the region components in the <strong>HDevelop</strong> window. Then you may set the drawing color (here: red) to visualize the selected regions. The loop is initialized by assigning 1 to the variable ÙØØÓÒ (1 is the code for the left mouse button). Within the loop the mouse state is queried and the chosen region is selected. As an example the mean gray value and the standard deviation are computed for each selected region. As long as you press only the left mouse button within the window the loop continues. You can terminate it by pressing any other mouse button. 5.4 Annual Rings File name: ÛÓÓºÚ Everyone knows the task to determine the age of a tree by counting its annual rings. This will now be done automatically using the example program. The first step is the segmentation of annual rings. This is quite simple as you can see them clearly as bright or dark lines. Again, the dynamic thresholding (ÝÒ ØÖ×ÓÐ) can be used (as before during the particle segmentation in section 5.3). To achieve a suitable threshold image you apply the mean filter (ÑÒ Ñ) with size 15 ¢ 15 first. The segmentation result contains many tiny regions that are no annual rings. To eliminate them you have to create the connected components (ÓÒÒØÓÒ) and suppress all regions that are too small (×ÐØ ×Ô). Counting the rings becomes difficult, as there might be fissures in the wood (see figure 5.8). Thus, we suggest the following method: You define the start and end point of a line across the annual rings using your mouse. Then the number of intersections with annual rings is counted along this line. This can be done by the following HALCON operators: The start and end points, represented by their x- and y-coordinates, are transformed into a line (Ò ÖÓÒ ÐÒ). This line is intersected (ÒØÖ×ØÓÒ) with the annual rings (ËÐØÊÓÒ×). The number of the connected regions (ÓÙÒØ Ó) in this intersection is the number of annual rings. The complete program looks as follows: 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×
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2.3. MAIN WINDOW 45 ÏÒÓÛ º ×
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2.3. MAIN WINDOW 47 Figure 2.31: Th
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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
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Page 69 and 70: 3.2. CONTROL TYPES AND CONSTANTS 61
Page 71 and 72: 3.4. OPERATIONS ON ICONIC OBJECTS 6
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Page 87 and 88: 3.8. LIMITATIONS 79 In the followin
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Page 93 and 94: 4.1. CODE GENERATION FOR C++ 85 tha
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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 139 and 140: 12 APPENDIX B. DEVELOP Attention If
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Page 149 and 150: 22 APPENDIX B. DEVELOP ’black’
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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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