Mercurial > repos > imgteam > imagej2_analyze_skeleton

annotate imagej2_find_maxima_jython_script.py @ 3:50f2b961b192 draft default tip

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 8f49f3c66b5a1de99ec15e65c2519a56792f1d56
author imgteam
date Wed, 25 Sep 2024 16:09:42 +0000
parents bdee06a1bcfa
children
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bb84f130a4e1 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit b08f0e6d1546caaf627b21f8c94044285d5d5b9c-dirty"
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1 import sys
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3272e0439968 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
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3 from ij import IJ, ImagePlus
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bb84f130a4e1 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit b08f0e6d1546caaf627b21f8c94044285d5d5b9c-dirty"
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4 from ij.plugin.filter import Analyzer, MaximumFinder
bb84f130a4e1 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit b08f0e6d1546caaf627b21f8c94044285d5d5b9c-dirty"
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5 from ij.process import ImageProcessor
bb84f130a4e1 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit b08f0e6d1546caaf627b21f8c94044285d5d5b9c-dirty"
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bb84f130a4e1 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit b08f0e6d1546caaf627b21f8c94044285d5d5b9c-dirty"
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7 # Fiji Jython interpreter implements Python 2.5 which does not
bb84f130a4e1 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit b08f0e6d1546caaf627b21f8c94044285d5d5b9c-dirty"
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8 # provide support for argparse.
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9 input_file = sys.argv[-9]
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10 scale_when_converting = sys.argv[-8] == "yes"
bdee06a1bcfa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 57a0433defa3cbc37ab34fbb0ebcfaeb680db8d5
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11 weighted_rgb_conversions = sys.argv[-7] == "yes"
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12 noise_tolerance = int(sys.argv[-6])
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13 output_type = sys.argv[-5]
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14 exclude_edge_maxima = sys.argv[-4] == "yes"
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15 light_background = sys.argv[-3]
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16 tmp_output_path = sys.argv[-2]
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17 output_datatype = sys.argv[-1]
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19 # Open the input image file.
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20 input_image_plus = IJ.openImage(input_file)
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22 # Create a copy of the image.
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23 input_image_plus_copy = input_image_plus.duplicate()
bb84f130a4e1 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit b08f0e6d1546caaf627b21f8c94044285d5d5b9c-dirty"
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24 image_processor_copy = input_image_plus_copy.getProcessor()
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25 bit_depth = image_processor_copy.getBitDepth()
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26 analyzer = Analyzer(input_image_plus_copy)
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27
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28 # Set the conversion options.
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29 options = []
3272e0439968 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
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30 # The following 2 options are applicable only to RGB images.
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31 if bit_depth == 24:
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32 if scale_when_converting:
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33 options.append("scale")
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34 if weighted_rgb_conversions:
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35 options.append("weighted")
3272e0439968 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
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36 # Perform conversion - must happen even if no options are set.
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50f2b961b192 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 8f49f3c66b5a1de99ec15e65c2519a56792f1d56
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37 IJ.run(input_image_plus_copy, "Conversions...", " %s" % " ".join(options))
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38 if output_type in ["List", "Count"]:
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39 # W're generating a tabular file for the output.
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40 # Set the Find Maxima options.
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41 options = ["noise=%d" % noise_tolerance]
bdee06a1bcfa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 57a0433defa3cbc37ab34fbb0ebcfaeb680db8d5
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42 if output_type.find("_") > 0:
bdee06a1bcfa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 57a0433defa3cbc37ab34fbb0ebcfaeb680db8d5
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43 output_type_str = "output=[%s]" % output_type.replace("_", " ")
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44 else:
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45 output_type_str = "output=%s" % output_type
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46 options.append(output_type_str)
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47 if exclude_edge_maxima:
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48 options.append("exclude")
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49 if light_background:
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50 options.append("light")
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51 # Run the command.
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52 IJ.run(input_image_plus_copy, "Find Maxima...", "%s" % " ".join(options))
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53 results_table = analyzer.getResultsTable()
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54 results_table.saveAs(tmp_output_path)
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55 else:
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56 # Find the maxima of an image (does not find minima).
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57 # LIMITATIONS: With output_type=Segmented_Particles
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58 # (watershed segmentation), some segmentation lines
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59 # may be improperly placed if local maxima are suppressed
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60 # by the tolerance.
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61 mf = MaximumFinder()
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62 if output_type == "Single_Points":
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63 output_type_param = mf.SINGLE_POINTS
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64 elif output_type == "Maxima_Within_Tolerance":
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65 output_type_param = mf.IN_TOLERANCE
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66 elif output_type == "Segmented_Particles":
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67 output_type_param = mf.SEGMENTED
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68 elif output_type == "List":
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69 output_type_param = mf.LIST
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70 elif output_type == "Count":
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71 output_type_param = mf.COUNT
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72 # Get a new byteProcessor with a normal (uninverted) LUT where
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73 # the marked points are set to 255 (Background 0). Pixels outside
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74 # of the roi of the input image_processor_copy are not set. No
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75 # output image is created for output types POINT_SELECTION, LIST
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76 # and COUNT. In these cases findMaxima returns null.
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77 byte_processor = mf.findMaxima(
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78 image_processor_copy,
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79 noise_tolerance,
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80 ImageProcessor.NO_THRESHOLD,
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81 output_type_param,
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82 exclude_edge_maxima,
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83 False,
bdee06a1bcfa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 57a0433defa3cbc37ab34fbb0ebcfaeb680db8d5
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84 )
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3272e0439968 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
imgteam
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85 # Invert the image or ROI.
3272e0439968 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
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86 byte_processor.invert()
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bdee06a1bcfa planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 57a0433defa3cbc37ab34fbb0ebcfaeb680db8d5
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87 if output_type == "Segmented_Particles" and not light_background:
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3272e0439968 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
imgteam
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88 # Invert the values in this image's LUT (indexed color model).
3272e0439968 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
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89 byte_processor.invertLut()
3272e0439968 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
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90 image_plus = ImagePlus("output", byte_processor)
3272e0439968 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/image_processing/imagej2 commit 2afb24f3c81d625312186750a714d702363012b5"
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91 IJ.saveAs(image_plus, output_datatype, tmp_output_path)