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
67
68
69
70
|
#!/usr/bin/env python
## Program: VMTK
## Module: $RCSfile: vmtkimagesmoothing.py,v $
## Language: Python
## Date: $Date: 2006/07/17 09:53:14 $
## Version: $Revision: 1.8 $
## Copyright (c) Luca Antiga, David Steinman. All rights reserved.
## See LICENCE file for details.
## This software is distributed WITHOUT ANY WARRANTY; without even
## the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
## PURPOSE. See the above copyright notices for more information.
import vtk
import sys
import pypes
vmtkimagesmoothing = 'vmtkImageSmoothing'
class vmtkImageSmoothing(pypes.pypeScript):
def __init__(self):
pypes.pypeScript.__init__(self)
self.Image = None
self.StandardDeviation = 1.0
self.RadiusFactor = 5.0
self.Dimensionality = 3
self.SetScriptName('vmtkimagesmoothing')
self.SetScriptDoc('smooth an image with a Gaussian kernel')
self.SetInputMembers([
['Image','i','vtkImageData',1,'','the input image','vmtkimagereader'],
['StandardDeviation','sigma','float',1,'(0.0,)','the standard deviation of the Gaussian in real space units'],
['RadiusFactor','radiusfactor','float',1,'(0.0,)','the factor specifing the width of the discrete Gaussian kernel'],
['Dimensionality','dimensionality','int',1,'(2,3)','the dimensionality of the convolution']
])
self.SetOutputMembers([
['Image','o','vtkImageData',1,'','the output image','vmtkimagewriter']
])
def Execute(self):
if self.Image == None:
self.PrintError('Error: No input image.')
spacing = self.Image.GetSpacing()
pixelStandardDeviations = [self.StandardDeviation/spacing[0],self.StandardDeviation/spacing[1],self.StandardDeviation/spacing[2]]
smoothingFilter = vtk.vtkImageGaussianSmooth()
smoothingFilter.SetInput(self.Image)
smoothingFilter.SetStandardDeviations(pixelStandardDeviations)
smoothingFilter.SetRadiusFactor(self.RadiusFactor)
smoothingFilter.SetDimensionality(self.Dimensionality)
smoothingFilter.Update()
self.Image = smoothingFilter.GetOutput()
if __name__=='__main__':
main = pypes.pypeMain()
main.Arguments = sys.argv
main.Execute()
|
