def __init__(self, module_manager):
SimpleVTKClassModuleBase.__init__(
self, module_manager,
vtk.vtkImageQuantizeRGBToIndex(), 'Processing.',
('vtkImageData',), ('vtkImageData',),
replaceDoc=True,
inputFunctions=None, outputFunctions=None)
def __init__(self, module_manager):
SimpleVTKClassModuleBase.__init__(self,
module_manager,
vtk.vtkImageQuantizeRGBToIndex(),
'Processing.', ('vtkImageData', ),
('vtkImageData', ),
replaceDoc=True,
inputFunctions=None,
outputFunctions=None)
renWin.AddRenderer(ren1) iren = vtk.vtkRenderWindowInteractor() iren.SetRenderWindow(renWin) # Read the data. Note this creates a 3-component scalar. red = vtk.vtkPNGReader() red.SetFileName(VTK_DATA_ROOT + "/Data/RedCircle.png") red.Update() # Next filter can only handle RGB *(&&*@ extract = vtk.vtkImageExtractComponents() extract.SetInputConnection(red.GetOutputPort()) extract.SetComponents(0,1,2) # Quantize the image into an index quantize = vtk.vtkImageQuantizeRGBToIndex() quantize.SetInputConnection(extract.GetOutputPort()) quantize.SetNumberOfColors(3) # Create the pipeline discrete = vtk.vtkDiscreteFlyingEdges2D() discrete.SetInputConnection(quantize.GetOutputPort()) discrete.SetValue(0,0) # Create polgons polyLoops = vtk.vtkContourLoopExtraction() polyLoops.SetInputConnection(discrete.GetOutputPort()) # Triangle filter because concave polygons are not rendered correctly triF = vtk.vtkTriangleFilter() triF.SetInputConnection(polyLoops.GetOutputPort())
#!/usr/bin/env python
import vtk
from vtk.test import Testing
from vtk.util.misc import vtkGetDataRoot
VTK_DATA_ROOT = vtkGetDataRoot()
# Make an image larger by repeating the data. Tile.
# Image pipeline
reader = vtk.vtkPNMReader()
reader.ReleaseDataFlagOff()
reader.SetFileName("" + str(VTK_DATA_ROOT) + "/Data/earth.ppm")
pad = vtk.vtkImageMirrorPad()
pad.SetInputConnection(reader.GetOutputPort())
pad.SetOutputWholeExtent(-120, 320, -120, 320, 0, 0)
quant = vtk.vtkImageQuantizeRGBToIndex()
quant.SetInputConnection(pad.GetOutputPort())
quant.SetNumberOfColors(16)
quant.Update()
map = vtk.vtkImageMapToRGBA()
map.SetInputConnection(quant.GetOutputPort())
map.SetLookupTable(quant.GetLookupTable())
viewer = vtk.vtkImageViewer()
viewer.SetInputConnection(map.GetOutputPort())
viewer.SetColorWindow(256)
viewer.SetColorLevel(127)
viewer.GetActor2D().SetDisplayPosition(110, 110)
viewer.Render()
# --- end of script --
image.Update()
mapper = vtk.vtkFixedPointVolumeRayCastMapper()
#mapper.SetInput(image)
volproperty = vtk.vtkVolumeProperty()
#volproperty.IndependentComponentsOff()
#red = vtk.vtkColorTransferFunction()
#red.Set
volume = vtk.vtkVolume()
volume.SetMapper(mapper)
volume.SetProperty(volproperty)
# we want an indexed image
indexer = vtk.vtkImageQuantizeRGBToIndex()
indexer.SetInput(image)
#indexer.SetNumberOfColors(5) # causes errors!
indexedImage = indexer.GetOutput()
indexedImage.Update()
lookuptable = indexer.GetLookupTable()
# fix annoyance with indexed image
for i in xrange(20):
for j in xrange(20):
for k in xrange(20):
value = indexedImage.GetScalarComponentAsFloat(i,j,k,0)
if value % 2 == 0:
indexedImage.SetScalarComponentFromFloat(i,j,k,0,0)
mapper.SetInput(indexedImage)
# for some reason on the mac, the tiff reader gives us a four # component image - doesn't unless we are using QuantizeRGBToIndex extract = vtk.vtkImageExtractComponents() extract.SetInput(image) extract.SetComponents(0, 1, 2) image = extract.GetOutput() image.Update() mapper = vtk.vtkFixedPointVolumeRayCastMapper() volproperty = vtk.vtkVolumeProperty() volume = vtk.vtkVolume() volume.SetMapper(mapper) volume.SetProperty(volproperty) # we want an indexed image indexer = vtk.vtkImageQuantizeRGBToIndex() indexer.SetInput(image) #indexer.SetNumberOfColors(5) # causes errors! indexedImage = indexer.GetOutput() indexedImage.Update() lookuptable = indexer.GetLookupTable() #print lookuptable x0 = 0 y0 = 0 z0 = 0 #clip image so we can reasonably look at it ## clipper = vtk.vtkImageClip() ## clipper.SetInput(indexedImage) ## newsize = 50