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Jython Scripting

6,864 bytes added, 07:52, 7 September 2016
Adding a second example that demonstrates how to use script parameters and some more stuff.
The aim of this page is not to teach how to program in Python. This purpose is much better fulfilled by the [ documentation of Python 2]. The focus of this page is to show how features of the Python language can be useful for ImageJ scripting.
That is why more complex examples are used that are fully functional. Just copy the code to the [[Using_the_Script_Editor|Script Editor]] and try them by yourself. Extensive in-line documentation is used to explain the implementation.
=== Image selection using the GenericDialog class ===
=== Using ImageJ-Ops Scripting Parameters ===
coming soonThe second example is inspired by atomic resolution images recorded with an Transmission Electron Microscope (TEM).Such images show a regular structure (a crystal), but the images are noisy because of the low signal.By using a Fourier filter the contrast can be enhancedThe script will create a periodic structure and add some random noise. The user can control the parameters of the created image. This is realized using [[Script_parameters|Script parameters]]. The Fourier filtering has been created by using the [[Introduction_into_Macro_Programming#The_recorder Recorder]]. Finally a simple image calculator is used to show that functions can be passed as parameters. This list links to the documentation of Python features that are introduced with this example: * [ The zip() function]* [ Rotating a two-dimensional array]* [ Lambda expressions]  <source lang='python'># @String(value='Please set some parameters.', visibility='MESSAGE') message# @Short(label='Image size', value=512, min=128, max=2048, stepSize=128, style="slider") img_size# @Double(label='Image amplitude', value=100) amplitude# @Short(label='Spacing', value=16, min=8) spacing # The parameters in front of this comment are populated before the script runs.# Details on Script parameters can be found at# # The module __future__ contains some useful functions:# __future__ import with_statement, division # It's best practice to create a function that contains the code that is executed when running the script.# This enables us to stop the script by just calling return.def run_script(): # We can use import inside of code blocks to limit the scope. import math from ij import IJ, ImagePlus from ij.process import FloatProcessor blank = IJ.createImage("Blank", "32-bit black", img_size, img_size, 1) # This create a list of lists. Each inner list represents a line. # pixel_matrix[0] is the first line where y=0. pixel_matrix = split_list(blank.getProcessor().getPixels(), wanted_parts=img_size) # This swaps x and y coordinates. # # As zip() creates tuples, we have to convert each one by using list(). pixel_matrix = [list(x) for x in zip(*pixel_matrix)] for y in range(img_size): for x in range(img_size): # This function oszillates between 0 and 1. # The distance of 2 maxima in a row/column is given by spacing. val = (0.5 * (math.cos(2*math.pi/spacing*x) + math.sin(2*math.pi/spacing*y)))**2 # When assigning, we multiply the value by the amplitude. pixel_matrix[x][y] = amplitude * val # The constructor of FloatProcessor works fine with a 2D Python list. crystal = ImagePlus("Crystal", FloatProcessor(pixel_matrix)) # Crop without selection is used to duplicate an image. crystal_with_noise = crystal.crop() crystal_with_noise.setTitle("Crystal with noise"), "Add Specified Noise...", "standard=%d" % int(amplitude/math.sqrt(2))) # As this is a demo, we don't want to be ask to save an image on closing it. # In Python True and False start with capital letters. crystal_with_noise.changes = False filtered = fft_filter(crystal_with_noise) # We create a lambda function to be used as a parameter of img_calc(). subtract = lambda values: values[0] - values[1] """ This is a short form for: def subtract(values): return values[0] - values[1] """ # The first time we call img_calc with 2 images. difference = img_calc(subtract, crystal, filtered, title="Difference of 2") # The first time we call img_calc with 3 images. minimum = img_calc(min, crystal, filtered, crystal_with_noise, title="Minimum of 3" for imp in (crystal, crystal_with_noise, filtered, difference, minimum):, "Measure", "") # Functions can be defined after they are used.# This is only possible if the main code is encapsulated into a function.# The main function has to be called at the end of the script. def img_calc(func, *imps, **kwargs): """Runs the given function on each pixel of the given list of images. An additional parameter, the title of the result, is passed as keyword parameter. We assume that each image has the same size. This is not checked by this function. """ # If the keyword parameter is not passed, it is set to a default value. if not kwargs['title']: kwargs['title'] = "Result" # This is a 2D list: list[number of images][pixels per image] . pixels = [imp.getProcessor().getPixels() for imp in imps] # The function is called pixel by pixel. # zip(*pixels) rotates the 2D list: list[pixels per image][mumber of images]. result = [func(vals) for vals in zip(*pixels)] # result is a 1D list and can be used to create an ImagePlus object. from ij import ImagePlus from ij.process import FloatProcessor return ImagePlus(kwargs['title'], FloatProcessor(img_size, img_size, result)) def split_list(alist, wanted_parts=1): """Split a list to the given number of parts.""" length = len(alist) # alist[a:b:step] is used to get only a subsection of the list 'alist'. # alist[a:b] is the same as [a:b:1]. # '//' is an integer division. # Without 'from __future__ import division' '/' would be an integer division. return [ alist[i*length // wanted_parts: (i+1)*length // wanted_parts] for i in range(wanted_parts) ] def fft_filter(imp): """ Removing noise from an image by using a FFT filter This are operations copied from the ImageJ macro recorder. Jython does not complain when you forget to remove the semicolons. """ from ij import IJ, "FFT", ""); # No ImagePlus is returned by the FFT function of ImageJ. # We need to use the WindowManager to select the newly created image. from ij import WindowManager as wm fft = wm.getImage("FFT of " + imp.getTitle()), "Find Maxima...", "noise=64 output=[Point Selection] exclude"); # Enlarging the point selectins from Find Maxima., "Enlarge...", "enlarge=2"); # Inverting the selection., "Make Inverse", "");, "Macro...", "code=v=0");, "Inverse FFT", ""); fft.changes = False fft.close() imp_filtered = wm.getImage("Inverse FFT of " + imp.getTitle()) imp_filtered.setTitle("Filtered " + imp.getTitle()) imp_filtered.changes = False return imp_filtered  # If a Jython script is run, the variable __name__ contains the string '__main__'.# If a script is loaded as module, __name__ has a different value.if __name__ == '__main__': run_script()</source>
== Self written Jython modules for ImageJ ==