HDevelop User's Manual

108 CHAPTER 5. PROGRAM EXAMPLES
Figure 5.14: Searching regions for contacts (left) and IC contacts (right).
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ÑÒÑ ´ËÖÖݸ ÅÒ¸ ½¸ ½µ
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ÓÒÒØÓÒ ´ÓÒØØ׸ ÓÒØØ×ÓÒÒص
ÐÐÙÔ ´ÓÒØØ×ÓÒÒظ ÓÒØØ×Ðе
×ÐØ×Ô ´ÓÒØØ×Ðи ÓÒØØ×Ê׸ ³Ö³¸ ³Ò³¸ ½¼¸ ½¼¼µ
The result of the intersection is still not satisfying. Too many small and too many wrong regions
have been found. So we have to eliminate them by using ×ÐØ ×Ô. Figure 5.14 shows the
final result of the segmentation on the right side.
5.8 Cell Walls
File name: ÛÓÓ ÐÐ׺Ú
In this example we will examine the alteration of the cell wall’s proportion during a tree’s
growth. The input image is a microscope view of wooden cells (see figure 5.15).
You can clearly see the single cells and the discontinuity that is caused by the stopped growing
in winter.
Extracting cell walls is simple because they are significantly darker. The remaining “difficulty”
lies in the computation of the distribution in growth direction, i.e., along the image x-axis. First,
we define the width of the window over which the cell distribution is computed by assigning it to
the variable in the program. Then we fetch the image size using Ø Ñ ÔÓÒØÖ½ to get
the corresponding loop parameters. The broader the search range, the stronger the smoothing
during the measurement.
Now the loop starts from the “left” side to compute the whole image. The ratio of the area of
the cell walls and a rectangle of width is computed for every value of the loop variable . The
HDevelop / 2000-11-16