-
Notifications
You must be signed in to change notification settings - Fork 42
/
tubeness-generator.groovy
66 lines (57 loc) · 1.85 KB
/
tubeness-generator.groovy
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
#@ Integer (value = 256) width
#@ Double (value = 5) scale
#@ Integer (value = 10) nLines
#@output ImagePlus result
import ij.ImagePlus
import ij.gui.NewImage
import ij.gui.PolygonRoi
import ij.gui.Roi
import ij.plugin.ImageCalculator
import ij.process.ImageProcessor
imp = NewImage.createShortImage("Source", width, width, 1, NewImage.FILL_BLACK)
final ImageProcessor ip = imp.getProcessor()
// Add a ramp
ip.setColor(1000)
// Draw structures.
pxs = new int[nLines - 1]
pys1 = new int[nLines - 1]
pys2 = new int[nLines - 1]
for (i = 0; i < nLines - 1; i++) {
int ox1 = (2 * i + 1) * width / nLines / 2
int ox2 = (2 * i + 2) * width / nLines / 2
int oy1 = width / nLines
int oy2 = 2 * width / nLines
ip.setLineWidth(1 * i + 1)
ip.drawLine(ox1, oy1, ox2, oy2)
if(i < (nLines - 3))
ip.fillRect((5 * ox1 / 4) as int, 2 * width / nLines + oy1 as int, 4 * (i + 1), 4 * (i + 1))
px = width / nLines + (int) ((nLines - 2.0) / nLines * width *
Math.sin(2 * Math.PI * i / nLines))
pxs[i] = px
py = (int) (6 * width / nLines + width / nLines *
Math.cos(Math.PI * i))
pys1[i] = py
pys2[i] = (int) (py + 2 * 1.5 * width / nLines)
ip.setLineWidth(1)
ip.drawLine(width / nLines * i as int,
(int) ((nLines - 2.5) * width / nLines),
width / nLines * i as int,
width)
ip.drawLine((int) (width / nLines * (i + 0.5)) as int,
(int) ((nLines - 2.5) * width / nLines),
(int) (width / nLines * (i + 0.5)) as int,
width)
}
ip.setLineWidth((int) scale)
roi1 = new PolygonRoi(pxs, pys1, pxs.length, Roi.POLYLINE)
roi1.fitSpline()
ip.draw(roi1)
roi2 = new PolygonRoi(pxs, pys2, pxs.length, Roi.POLYLINE)
roi2.fitSpline()
ip.draw(roi2)
// Add a ramp.
ramp = NewImage.createShortImage("Source", width, width, 1, NewImage.FILL_RAMP)
ramp.getProcessor().multiply(1.0 / 5.0)
result = new ImageCalculator().run("add create", imp, ramp)
// Corrupt by noise.
result.getProcessor().noise(500)