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# EnhanceEdges

VTKEx/Python/ImageProcessing/EnhanceEdges

### Description

High-pass filters can also be used to compress the range of an image. Since low frequencies account for much of the dynamic range of an image but carry little information, a high-pass filter can significantly decrease an image’s scalar range and emphasize hidden details. The Laplacian filter, which is a second derivative operation, is one implementation of a high-pass filter. It eliminates constant and low frequencies leaving only high-frequency edges. The output of the Laplacian can be subtracted from the original image to produce edge enhancement or sharpening of an image.

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Question

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### Code

EnhanceEdges.py

    #!/usr/bin/env python

    """
    """

    import vtk

    def main():
        # colors = vtk.vtkNamedColors()

        fileName = get_program_parameters()

        # Read the image.
        readerFactory = vtk.vtkImageReader2Factory()
        reader = readerFactory.CreateImageReader2(fileName)
        reader.SetFileName(fileName)
        reader.Update()

        scalarRange = [0] * 2
        scalarRange[0] = reader.GetOutput().GetPointData().GetScalars().GetRange()[0]
        scalarRange[1] = reader.GetOutput().GetPointData().GetScalars().GetRange()[1]
        print("Range:", scalarRange)
        middleSlice = 22

        # Work with triple images.
        cast = vtk.vtkImageCast()
        cast.SetInputConnection(reader.GetOutputPort())
        cast.SetOutputScalarTypeToDouble()
        cast.Update()

        laplacian = vtk.vtkImageLaplacian()
        laplacian.SetInputConnection(cast.GetOutputPort())
        laplacian.SetDimensionality(3)

        enhance = vtk.vtkImageMathematics()
        enhance.SetInputConnection(0, cast.GetOutputPort())
        enhance.SetInputConnection(1, laplacian.GetOutputPort())
        enhance.SetOperationToSubtract()

        colorWindow = (scalarRange[1] - scalarRange[0])
        colorLevel = colorWindow / 2

        # Map the image through the lookup table.
        originalColor = vtk.vtkImageMapToWindowLevelColors()
        originalColor.SetWindow(colorWindow)
        originalColor.SetLevel(colorLevel)
        originalColor.SetInputConnection(reader.GetOutputPort())

        originalActor = vtk.vtkImageActor()
        originalActor.GetMapper().SetInputConnection(originalColor.GetOutputPort())
        originalActor.GetProperty().SetInterpolationTypeToNearest()
        originalActor.SetDisplayExtent(
            reader.GetDataExtent()[0], reader.GetDataExtent()[1],
            reader.GetDataExtent()[2], reader.GetDataExtent()[3],
            middleSlice, middleSlice)

        laplacianColor = vtk.vtkImageMapToWindowLevelColors()
        laplacianColor.SetWindow(1000)
        laplacianColor.SetLevel(0)
        laplacianColor.SetInputConnection(laplacian.GetOutputPort())

        laplacianActor = vtk.vtkImageActor()
        laplacianActor.GetMapper().SetInputConnection(laplacianColor.GetOutputPort())
        laplacianActor.GetProperty().SetInterpolationTypeToNearest()
        laplacianActor.SetDisplayExtent(originalActor.GetDisplayExtent())

        enhancedColor = vtk.vtkImageMapToWindowLevelColors()
        enhancedColor.SetWindow(colorWindow)
        enhancedColor.SetLevel(colorLevel)
        enhancedColor.SetInputConnection(enhance.GetOutputPort())

        enhancedActor = vtk.vtkImageActor()
        enhancedActor.GetMapper().SetInputConnection(enhancedColor.GetOutputPort())
        enhancedActor.GetProperty().SetInterpolationTypeToNearest()
        enhancedActor.SetDisplayExtent(originalActor.GetDisplayExtent())

        # Setup the renderers.
        originalRenderer = vtk.vtkRenderer()
        originalRenderer.AddActor(originalActor)
        laplacianRenderer = vtk.vtkRenderer()
        laplacianRenderer.AddActor(laplacianActor)
        enhancedRenderer = vtk.vtkRenderer()
        enhancedRenderer.AddActor(enhancedActor)

        renderers = list()
        renderers.append(originalRenderer)
        renderers.append(laplacianRenderer)
        renderers.append(enhancedRenderer)

        # Setup viewports for the renderers.
        rendererSize = 400
        xGridDimensions = 3
        yGridDimensions = 1

        renderWindow = vtk.vtkRenderWindow()
        renderWindow.SetSize(rendererSize * xGridDimensions, rendererSize * yGridDimensions)
        for row in range(0, yGridDimensions):
            for col in range(xGridDimensions):
                index = row * xGridDimensions + col
                # (xmin, ymin, xmax, ymax)
                viewport = [float(col) / xGridDimensions, float(yGridDimensions - (row + 1)) / yGridDimensions,
                            float(col + 1) / xGridDimensions, float(yGridDimensions - row) / yGridDimensions]
                renderers[index].SetViewport(viewport)
                renderWindow.AddRenderer(renderers[index])

        renderWindowInteractor = vtk.vtkRenderWindowInteractor()
        style = vtk.vtkInteractorStyleImage()

        renderWindowInteractor.SetInteractorStyle(style)
        renderWindowInteractor.SetRenderWindow(renderWindow)

        # Renderers share one camera.
        renderWindow.Render()
        renderers[0].GetActiveCamera().Dolly(1.5)
        renderers[0].ResetCameraClippingRange()

        for r in range(1, len(renderers)):
            renderers[r].SetActiveCamera(renderers[0].GetActiveCamera())
        renderWindowInteractor.Initialize()
        renderWindowInteractor.Start()

    def get_program_parameters():
        import argparse
        description = 'High-pass filters can extract and enhance edges in an image.'
        epilogue = '''
        Subtraction of the Laplacian (middle) from the original image (left) results
         in edge enhancement or a sharpening operation (right).
        '''
        parser = argparse.ArgumentParser(description=description, epilog=epilogue,
                                         formatter_class=argparse.RawDescriptionHelpFormatter)
        parser.add_argument('filename', help='FullHead.mhd.')
        args = parser.parse_args()
        return args.filename

    if __name__ == '__main__':
        main()