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5.2. CAPILLARY VESSEL 95<br />
ÚÐÓ×ÛÒÓÛ ´µ<br />
ÖÑ ´ØÐÓ¸ ³×Û××½ºØ³µ<br />
ØÑÔÓÒØÖ½ ´ØÐÓ¸ ÈÓÒØÖ¸ ÌÝÔ¸ Ïظ Àص<br />
ÚÓÔÒÛÒÓÛ ´¼¸ ¼¸ ÏØ»¾¸ ÀØ»¾¸ ³Ð³¸ ÏÒÓÛÁµ<br />
Ú×ØÔÖØ ´¼¸ ¼¸ Àع½¸ Ïع½µ<br />
Ú×ØÖÛ ´³Ðгµ<br />
ØÖ×ÓÐ ´ØÐÓ¸ Ö¸ ¼¸ ½½¼µ<br />
Ú×ØÓÐÓÖ ´µ<br />
ÓÒÒØÓÒ ´Ö¸ ÓÒÒØÊÓÒ×µ<br />
ÐÐÙÔ ´ÓÒÒØÊÓÒ׸ ÊÓÒÐÐÍÔµ<br />
×ÐØ×Ô ´ÊÓÒÐÐÍÔ¸ ËØÑÔÒØ׸ ³Ö³¸<br />
³Ò³¸ ½¼¼¼¼¸ ¾¼¼¼¼¼µ<br />
×ÐØ×Ô ´ËØÑÔÒØ׸ ËØÑÔ׸<br />
³ÓÑÔØÒ×׳¸ ³Ò³¸ ½¸ ½ºµ<br />
×ÑÐÐ×ØÖØÒн ´ËØÑÔ׸ ÊÓÛ½¸ ÓÐÙÑÒ½¸ ÊÓÛ¾¸ ÓÐÙÑÒ¾µ<br />
Ú×ÔÐÝ ´ØÐÓµ<br />
Ú×ØÖÛ ´³ÑÖÒ³µ<br />
Ú×ØÐÒÛØ ´¿µ<br />
×ÔÖØÒн ´ÏÒÓÛÁ¸ ÊÓÛ½¸ ÓÐÙÑÒ½¸ ÊÓÛ¾¸ ÓÐÙÑÒ¾µ<br />
Figure 5.2 shows the segmentation result.<br />
Due to the unknown operators and unfamiliar syntax this program appears unclear to the user<br />
at first glance.<br />
But if you look closer at the operators you will notice the direct relation to the description above.<br />
ØÖ×ÓÐ selects all image pixels darker than the paper.<br />
ÓÒÒØÓÒ merges all selected pixels touching each other to connected regions.<br />
×ÐØ ×Ô selects the regions with areas (attribute: ³Ö³) inside a specified interval.<br />
×ÑÐÐ×Ø ÖØÒн computes each region’s coordinates (row/column) of the enclosing<br />
rectangle.<br />
Once the user is familiar with the single operators and their syntax, the transformation becomes<br />
easy. In particular, it is not important to the program whether an image or a set of regions is<br />
processed. You can handle them both in the same way. In addition memory management of<br />
internal data structuresis transparent to the user. Thus, you do not need to bother about memory<br />
management and you can concentrate on the image analysis tasks to solve.<br />
5.2 Capillary Vessel<br />
File name: Ú××кÚ<br />
The task of this example is the segmentation of a capillary vessel. In particular, you have to<br />
separate the cell area in the upper and lower part of figure 5.3 (left image) from the area in the<br />
middle of the image.<br />
HALCON 6.0