//load ImageJ
%classpath config resolver scijava.public https://maven.scijava.org/content/groups/public
%classpath add mvn net.imagej imagej 2.0.0-rc-71

//create ImageJ object
ij = new net.imagej.ImageJ()

ij.op().help('slice')

input = ij.scifio().datasetIO().open("http://imagej.net/images/clown.png")
ij.notebook().display(input)

sigma = 1

output = ij.op().create().img(input) 
    
ij.op().run("gauss", output, input, sigma)

dims = new long[output.numDimensions()]
output.dimensions(dims)
println(dims)

ij.notebook().display([["Original" : input, "Gaussed" : output]])

import net.imagej.ops.special.computer.Computers
import net.imagej.ops.Ops

gaussOp = Computers.unary(ij.op(), Ops.Filter.Gauss.class, output, input, sigma)

axes = [0, 1] as int[]

ij.op().run("slice", output, input, gaussOp, axes)

ij.notebook().display([["Original" : input, "Gauss Features" : output]])

newAxes = [2] as int[]

ij.op().run("slice", output, input, gaussOp, newAxes)

ij.notebook().display([["Original" : input, "Gauss Channels" : output]])