23 Feb, 2015

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12 Feb, 2015

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23 Jun, 2014

1 commit

  • Watershed is a very useful algorithm to segment brain, for example. The
    implementation used is from scikit image. Before the segmentation, a
    ww&wl is applied and a morphological gradient is applied, to extract the
    borders of the image. It can be used to 2D slices or to all slices (via
    expand button). It was created a new slice interaction style: WaterShedInteractorStyle.
    
    Starting to using watershed
    
    Added suport to erase a mark
    
    Applying threshold before starting watershed mode
    
    Watershed 3D (only markers from axial)
    
    Watershed 3D
    
    Marking the mask as edited when using watershed tool
    
    Fixed the problem of not deleting watershed interactor style
    
    Not flushing buffer (it's not necessary)
    
    Not hidding wx's cursor when marking to watershed
    
    Removed the vtk colour part from watershed style
    
    Removed the vtk colour part from watershed style
    
    micro-optimization
    
    Removing aux matrix when opening a new dicom dir
    
    not showing watershed markers when mask is hidden
    
    Only doing watershed when user marks back and foreground.
    
    Reloading all mask slice when watershed is expanded
    
    showing (hidding) watershed marks when enabled (disabled)
    
    cleaning undo redo when watershed is applied (TODO create undo redo to watershed)
    
    Interface to select watershed operation
    Thiago Franco de Moraes
     

17 Dec, 2013

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18 Apr, 2013

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  • * Added the parameter radius "Add measurement point" pubsub message. This
      parameter is proportional the image spacing.
    * Added PROP_MEASURE to constants.py. This constant is used to set the
      proportion the image spacing.
    
    The measure mark is proportional to the image spacing
    
    Loading measures with circlerepresentation proportional to the image spacing
    
    Adding measures in polydata with circlerepresentation proportional to the image spacing
    
    Added PROP_MEASURE to constants.py
    Thiago Franco de Moraes
     

04 Mar, 2013

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