//load ImageJ
%classpath config resolver scijava.public https://maven.scijava.org/content/groups/public
%classpath add mvn net.imagej imagej 2.0.0-rc-67

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

ij.op().help("outline")

input_full = ij.scifio().datasetIO().open("http://imagej.net/images/blobs.gif")

//input_full has 3 channels. We only need one.
input = ij.op().run("hyperSliceView", input_full, 2, 0)

//invert the image so that the blobs are "on" and the background "off"
inverted = ij.op().run("create.img", input)
ij.op().run("invert", inverted, input)

binaryInput = ij.op().run("threshold.huang", inverted)

ij.notebook().display(binaryInput)

import net.imglib2.algorithm.neighborhood.HyperSphereShape

output = ij.op().run("outline", binaryInput, true)

ij.notebook().display(output)

import net.imglib2.img.Img

list = new ArrayList<Img>()
 
list.add(binaryInput)
list.add(output)

stacked = ij.op().run("stackView", list)

ij.notebook().display(stacked)