def translate_single_stack_using_imglib2(imp, dx, dy, dz):
# wrap into a float imglib2 and translate
# conversion into float is necessary due to "overflow of n-linear interpolation due to accuracy limits of unsigned bytes"
# see: https://github.com/fiji/fiji/issues/136#issuecomment-173831951
img = ImagePlusImgs.from(imp.duplicate())
extended = Views.extendBorder(img)
converted = Converters.convert(extended, RealFloatSamplerConverter())
interpolant = Views.interpolate(converted, NLinearInterpolatorFactory())
# translate
if imp.getNDimensions()==3:
transformed = RealViews.affine(interpolant, Translation3D(dx, dy, dz))
elif imp.getNDimensions()==2:
transformed = RealViews.affine(interpolant, Translation2D(dx, dy))
else:
IJ.log("Can only work on 2D or 3D stacks")
return None
cropped = Views.interval(transformed, img)
# wrap back into bit depth of input image and return
bd = imp.getBitDepth()
if bd==8:
return(ImageJFunctions.wrapUnsignedByte(cropped,"imglib2"))
elif bd == 16:
return(ImageJFunctions.wrapUnsignedShort(cropped,"imglib2"))
elif bd == 32:
return(ImageJFunctions.wrapFloat(cropped,"imglib2"))
else:
return None
def translate_single_stack_using_imglib2(imp, dx, dy, dz):
# wrap into a float imglib2 and translate
# conversion into float is necessary due to "overflow of n-linear interpolation due to accuracy limits of unsigned bytes"
# see: https://github.com/fiji/fiji/issues/136#issuecomment-173831951
img = ImagePlusImgs.from(imp.duplicate())
extended = Views.extendZero(img)
converted = Converters.convert(extended, RealFloatSamplerConverter())
interpolant = Views.interpolate(converted, NLinearInterpolatorFactory())
# translate
if imp.getNDimensions()==3:
transformed = RealViews.affine(interpolant, Translation3D(dx, dy, dz))
elif imp.getNDimensions()==2:
transformed = RealViews.affine(interpolant, Translation2D(dx, dy))
else:
IJ.log("Can only work on 2D or 3D stacks")
return None
cropped = Views.interval(transformed, img)
# wrap back into bit depth of input image and return
bd = imp.getBitDepth()
if bd==8:
return(ImageJFunctions.wrapUnsignedByte(cropped,"imglib2"))
elif bd == 16:
return(ImageJFunctions.wrapUnsignedShort(cropped,"imglib2"))
elif bd == 32:
return(ImageJFunctions.wrapFloat(cropped,"imglib2"))
else:
return None
def translate_using_imglib2(imp, dx, dy, dz):
print "imp channels",imp.getNChannels()
# todo:
# if multiple channels use Duplicator to translate each channel individually
## wrap
# http://javadoc.imagej.net/ImgLib2/net/imglib2/img/imageplus/ImagePlusImg.html
img = ImagePlusImgs.from(imp.duplicate())
print "dimensions:",img.numDimensions()
print img.getChannels()
## prepare image
print "img",img
ddd
extended = Views.extendBorder(img)
#print "extended",extended
#print "extended",extended.dimension(1)
dims = zeros(4, 'l')
img.dimensions(dims)
print "dims",dims
converted = Converters.convert(extended, RealFloatSamplerConverter())
composite = Views.collapseReal(converted, imp.getNChannels())
print "composite",composite
interpolant = Views.interpolate(composite, NLinearInterpolatorFactory())
#print "interpolant",interpolant
transformed = RealViews.affine(interpolant, Translation3D(dx, dy, dz))
print "transformed", transformed
cropped = Views.interval(transformed, img)
print "cropped.numDimensions()", cropped.numDimensions()
print "cropped",cropped
## wrap back and return
bd = imp.getBitDepth()
# maybe simply wrap works?
if bd==8:
return(ImageJFunctions.wrapUnsignedByte(cropped,"imglib2"))
elif bd == 16:
return(ImageJFunctions.wrapUnsignedShort(cropped,"imglib2"))
elif bd == 32:
return(ImageJFunctions.wrapFloat(cropped,"imglib2"))
else:
return None
