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# interfaces.semtools.filtering.featuredetection

## CannyEdge

Link to code

Wraps command ** CannyEdge **

title: Canny Edge Detection

category: Filtering.FeatureDetection

description: Get the distance from a voxel to the nearest voxel of a given tissue type.

version: 0.1.0.(alpha)

documentation-url: http:://www.na-mic.org/

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: This tool was written by Hans J. Johnson.

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputVolume: (an existing file name)
            Required: input tissue label image
            flag: --inputVolume %s
    lowerThreshold: (a float)
            Threshold is the lowest allowed value in the output image. Its data
            type is the same as the data type of the output image. Any values
            below the Threshold level will be replaced with the OutsideValue
            parameter value, whose default is zero.
            flag: --lowerThreshold %f
    outputVolume: (a boolean or a file name)
            Required: output image
            flag: --outputVolume %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored
    upperThreshold: (a float)
            Threshold is the lowest allowed value in the output image. Its data
            type is the same as the data type of the output image. Any values
            below the Threshold level will be replaced with the OutsideValue
            parameter value, whose default is zero.
            flag: --upperThreshold %f
    variance: (a float)
            Variance and Maximum error are used in the Gaussian smoothing of the
            input image. See itkDiscreteGaussianImageFilter for information on
            these parameters.
            flag: --variance %f

Outputs:

    outputVolume: (an existing file name)
            Required: output image

## CannySegmentationLevelSetImageFilter

Link to code

Wraps command ** CannySegmentationLevelSetImageFilter **

title: Canny Level Set Image Filter

category: Filtering.FeatureDetection

description: The CannySegmentationLevelSet is commonly used to refine a manually generated manual mask.

version: 0.3.0

license: CC

contributor: Regina Kim

acknowledgements: This command module was derived from Insight/Examples/Segmentation/CannySegmentationLevelSetImageFilter.cxx (copyright) Insight Software Consortium. See http://wiki.na-mic.org/Wiki/index.php/Slicer3:Execution_Model_Documentation for more detailed descriptions.

Inputs:

    [Mandatory]

    [Optional]
    advectionWeight: (a float)
            Controls the smoothness of the resulting mask, small number are more
            smooth, large numbers allow more sharp corners.
            flag: --advectionWeight %f
    args: (a string)
            Additional parameters to the command
            flag: %s
    cannyThreshold: (a float)
            Canny Threshold Value
            flag: --cannyThreshold %f
    cannyVariance: (a float)
            Canny variance
            flag: --cannyVariance %f
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    initialModel: (an existing file name)
            flag: --initialModel %s
    initialModelIsovalue: (a float)
            The identification of the input model iso-surface. (for a binary
            image with 0s and 1s use 0.5) (for a binary image with 0s and 255's
            use 127.5).
            flag: --initialModelIsovalue %f
    inputVolume: (an existing file name)
            flag: --inputVolume %s
    maxIterations: (an integer)
            The
            flag: --maxIterations %d
    outputSpeedVolume: (a boolean or a file name)
            flag: --outputSpeedVolume %s
    outputVolume: (a boolean or a file name)
            flag: --outputVolume %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    outputSpeedVolume: (an existing file name)
    outputVolume: (an existing file name)

## DilateImage

Link to code

Wraps command ** DilateImage **

title: Dilate Image

category: Filtering.FeatureDetection

description: Uses mathematical morphology to dilate the input images.

version: 0.1.0.$Revision: 1 $(alpha)

documentation-url: http:://www.na-mic.org/

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: This tool was developed by Mark Scully and Jeremy Bockholt.

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputMaskVolume: (an existing file name)
            Required: input brain mask image
            flag: --inputMaskVolume %s
    inputRadius: (an integer)
            Required: input neighborhood radius
            flag: --inputRadius %d
    inputVolume: (an existing file name)
            Required: input image
            flag: --inputVolume %s
    outputVolume: (a boolean or a file name)
            Required: output image
            flag: --outputVolume %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    outputVolume: (an existing file name)
            Required: output image

## DilateMask

Link to code

Wraps command ** DilateMask **

title: Dilate Image

category: Filtering.FeatureDetection

description: Uses mathematical morphology to dilate the input images.

version: 0.1.0.$Revision: 1 $(alpha)

documentation-url: http:://www.na-mic.org/

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: This tool was developed by Mark Scully and Jeremy Bockholt.

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputBinaryVolume: (an existing file name)
            Required: input brain mask image
            flag: --inputBinaryVolume %s
    inputVolume: (an existing file name)
            Required: input image
            flag: --inputVolume %s
    lowerThreshold: (a float)
            Required: lowerThreshold value
            flag: --lowerThreshold %f
    outputVolume: (a boolean or a file name)
            Required: output image
            flag: --outputVolume %s
    sizeStructuralElement: (an integer)
            size of structural element. sizeStructuralElement=1 means that 3x3x3
            structuring element for 3D
            flag: --sizeStructuralElement %d
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    outputVolume: (an existing file name)
            Required: output image

## DistanceMaps

Link to code

Wraps command ** DistanceMaps **

title: Mauerer Distance

category: Filtering.FeatureDetection

description: Get the distance from a voxel to the nearest voxel of a given tissue type.

version: 0.1.0.$Revision: 1 $(alpha)

documentation-url: http:://www.na-mic.org/

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: This tool was developed by Mark Scully and Jeremy Bockholt.

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputLabelVolume: (an existing file name)
            Required: input tissue label image
            flag: --inputLabelVolume %s
    inputMaskVolume: (an existing file name)
            Required: input brain mask image
            flag: --inputMaskVolume %s
    inputTissueLabel: (an integer)
            Required: input integer value of tissue type used to calculate
            distance
            flag: --inputTissueLabel %d
    outputVolume: (a boolean or a file name)
            Required: output image
            flag: --outputVolume %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    outputVolume: (an existing file name)
            Required: output image

## DumpBinaryTrainingVectors

Link to code

Wraps command ** DumpBinaryTrainingVectors **

title: Erode Image

category: Filtering.FeatureDetection

description: Uses mathematical morphology to erode the input images.

version: 0.1.0.$Revision: 1 $(alpha)

documentation-url: http:://www.na-mic.org/

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: This tool was developed by Mark Scully and Jeremy Bockholt.

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputHeaderFilename: (an existing file name)
            Required: input header file name
            flag: --inputHeaderFilename %s
    inputVectorFilename: (an existing file name)
            Required: input vector filename
            flag: --inputVectorFilename %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    None

## ErodeImage

Link to code

Wraps command ** ErodeImage **

title: Erode Image

category: Filtering.FeatureDetection

description: Uses mathematical morphology to erode the input images.

version: 0.1.0.$Revision: 1 $(alpha)

documentation-url: http:://www.na-mic.org/

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: This tool was developed by Mark Scully and Jeremy Bockholt.

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputMaskVolume: (an existing file name)
            Required: input brain mask image
            flag: --inputMaskVolume %s
    inputRadius: (an integer)
            Required: input neighborhood radius
            flag: --inputRadius %d
    inputVolume: (an existing file name)
            Required: input image
            flag: --inputVolume %s
    outputVolume: (a boolean or a file name)
            Required: output image
            flag: --outputVolume %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    outputVolume: (an existing file name)
            Required: output image

## FlippedDifference

Link to code

Wraps command ** FlippedDifference **

title: Flip Image

category: Filtering.FeatureDetection

description: Difference between an image and the axially flipped version of that image.

version: 0.1.0.$Revision: 1 $(alpha)

documentation-url: http:://www.na-mic.org/

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: This tool was developed by Mark Scully and Jeremy Bockholt.

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputMaskVolume: (an existing file name)
            Required: input brain mask image
            flag: --inputMaskVolume %s
    inputVolume: (an existing file name)
            Required: input image
            flag: --inputVolume %s
    outputVolume: (a boolean or a file name)
            Required: output image
            flag: --outputVolume %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    outputVolume: (an existing file name)
            Required: output image

## GenerateBrainClippedImage

Link to code

Wraps command ** GenerateBrainClippedImage **

title: GenerateBrainClippedImage

category: Filtering.FeatureDetection

description: Automatic FeatureImages using neural networks

version: 1.0

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: Eun Young Kim

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputImg: (an existing file name)
            input volume 1, usally t1 image
            flag: --inputImg %s
    inputMsk: (an existing file name)
            input volume 2, usally t2 image
            flag: --inputMsk %s
    numberOfThreads: (an integer)
            Explicitly specify the maximum number of threads to use.
            flag: --numberOfThreads %d
    outputFileName: (a boolean or a file name)
            (required) output file name
            flag: --outputFileName %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    outputFileName: (an existing file name)
            (required) output file name

## GenerateSummedGradientImage

Link to code

Wraps command ** GenerateSummedGradientImage **

title: GenerateSummedGradient

category: Filtering.FeatureDetection

description: Automatic FeatureImages using neural networks

version: 1.0

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: Greg Harris, Eun Young Kim

Inputs:

    [Mandatory]

    [Optional]
    MaximumGradient: (a boolean)
            If set this flag, it will compute maximum gradient between two input
            volumes instead of sum of it.
            flag: --MaximumGradient
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputVolume1: (an existing file name)
            input volume 1, usally t1 image
            flag: --inputVolume1 %s
    inputVolume2: (an existing file name)
            input volume 2, usally t2 image
            flag: --inputVolume2 %s
    numberOfThreads: (an integer)
            Explicitly specify the maximum number of threads to use.
            flag: --numberOfThreads %d
    outputFileName: (a boolean or a file name)
            (required) output file name
            flag: --outputFileName %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    outputFileName: (an existing file name)
            (required) output file name

## GenerateTestImage

Link to code

Wraps command ** GenerateTestImage **

title: DownSampleImage

category: Filtering.FeatureDetection

description: Down sample image for testing

version: 1.0

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: Eun Young Kim

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputVolume: (an existing file name)
            input volume 1, usally t1 image
            flag: --inputVolume %s
    lowerBoundOfOutputVolume: (a float)
            flag: --lowerBoundOfOutputVolume %f
    outputVolume: (a boolean or a file name)
            (required) output file name
            flag: --outputVolume %s
    outputVolumeSize: (a float)
            output Volume Size
            flag: --outputVolumeSize %f
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored
    upperBoundOfOutputVolume: (a float)
            flag: --upperBoundOfOutputVolume %f

Outputs:

    outputVolume: (an existing file name)
            (required) output file name

## GradientAnisotropicDiffusionImageFilter

Link to code

Wraps command ** GradientAnisotropicDiffusionImageFilter **

title: GradientAnisopropicDiffusionFilter

category: Filtering.FeatureDetection

description: Image Smoothing using Gradient Anisotropic Diffuesion Filer

contributor: This tool was developed by Eun Young Kim by modifying ITK Example

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    conductance: (a float)
            Conductance for diffusion process
            flag: --conductance %f
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputVolume: (an existing file name)
            Required: input image
            flag: --inputVolume %s
    numberOfIterations: (an integer)
            Optional value for number of Iterations
            flag: --numberOfIterations %d
    outputVolume: (a boolean or a file name)
            Required: output image
            flag: --outputVolume %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored
    timeStep: (a float)
            Time step for diffusion process
            flag: --timeStep %f

Outputs:

    outputVolume: (an existing file name)
            Required: output image

## HammerAttributeCreator

Link to code

Wraps command ** HammerAttributeCreator **

title: HAMMER Feature Vectors

category: Filtering.FeatureDetection

description: Create the feature vectors used by HAMMER.

version: 0.1.0.$Revision: 1 $(alpha)

documentation-url: http:://www.na-mic.org/

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: This was extracted from the Hammer Registration source code, and wrapped up by Hans J. Johnson.

Inputs:

    [Mandatory]

    [Optional]
    Scale: (an integer)
            Determine Scale of Ball
            flag: --Scale %d
    Strength: (a float)
            Determine Strength of Edges
            flag: --Strength %f
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputCSFVolume: (an existing file name)
            Required: input CSF posterior image
            flag: --inputCSFVolume %s
    inputGMVolume: (an existing file name)
            Required: input grey matter posterior image
            flag: --inputGMVolume %s
    inputWMVolume: (an existing file name)
            Required: input white matter posterior image
            flag: --inputWMVolume %s
    outputVolumeBase: (a string)
            Required: output image base name to be appended for each feature
            vector.
            flag: --outputVolumeBase %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    None

## NeighborhoodMean

Link to code

Wraps command ** NeighborhoodMean **

title: Neighborhood Mean

category: Filtering.FeatureDetection

description: Calculates the mean, for the given neighborhood size, at each voxel of the T1, T2, and FLAIR.

version: 0.1.0.$Revision: 1 $(alpha)

documentation-url: http:://www.na-mic.org/

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: This tool was developed by Mark Scully and Jeremy Bockholt.

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputMaskVolume: (an existing file name)
            Required: input brain mask image
            flag: --inputMaskVolume %s
    inputRadius: (an integer)
            Required: input neighborhood radius
            flag: --inputRadius %d
    inputVolume: (an existing file name)
            Required: input image
            flag: --inputVolume %s
    outputVolume: (a boolean or a file name)
            Required: output image
            flag: --outputVolume %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    outputVolume: (an existing file name)
            Required: output image

## NeighborhoodMedian

Link to code

Wraps command ** NeighborhoodMedian **

title: Neighborhood Median

category: Filtering.FeatureDetection

description: Calculates the median, for the given neighborhood size, at each voxel of the input image.

version: 0.1.0.$Revision: 1 $(alpha)

documentation-url: http:://www.na-mic.org/

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: This tool was developed by Mark Scully and Jeremy Bockholt.

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputMaskVolume: (an existing file name)
            Required: input brain mask image
            flag: --inputMaskVolume %s
    inputRadius: (an integer)
            Required: input neighborhood radius
            flag: --inputRadius %d
    inputVolume: (an existing file name)
            Required: input image
            flag: --inputVolume %s
    outputVolume: (a boolean or a file name)
            Required: output image
            flag: --outputVolume %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    outputVolume: (an existing file name)
            Required: output image

## STAPLEAnalysis

Link to code

Wraps command ** STAPLEAnalysis **

title: Dilate Image

category: Filtering.FeatureDetection

description: Uses mathematical morphology to dilate the input images.

version: 0.1.0.$Revision: 1 $(alpha)

documentation-url: http:://www.na-mic.org/

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: This tool was developed by Mark Scully and Jeremy Bockholt.

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputDimension: (an integer)
            Required: input image Dimension 2 or 3
            flag: --inputDimension %d
    inputLabelVolume: (a list of items which are an existing file name)
            Required: input label volume
            flag: --inputLabelVolume %s...
    outputVolume: (a boolean or a file name)
            Required: output image
            flag: --outputVolume %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    outputVolume: (an existing file name)
            Required: output image

## TextureFromNoiseImageFilter

Link to code

Wraps command ** TextureFromNoiseImageFilter **

title: TextureFromNoiseImageFilter

category: Filtering.FeatureDetection

description: Calculate the local noise in an image.

version: 0.1.0.$Revision: 1 $(alpha)

documentation-url: http:://www.na-mic.org/

license: https://www.nitrc.org/svn/brains/BuildScripts/trunk/License.txt

contributor: This tool was developed by Eunyoung Regina Kim

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputRadius: (an integer)
            Required: input neighborhood radius
            flag: --inputRadius %d
    inputVolume: (an existing file name)
            Required: input image
            flag: --inputVolume %s
    outputVolume: (a boolean or a file name)
            Required: output image
            flag: --outputVolume %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    outputVolume: (an existing file name)
            Required: output image

## TextureMeasureFilter

Link to code

Wraps command ** TextureMeasureFilter **

title: Canny Level Set Image Filter

category: Filtering.FeatureDetection

description: The CannySegmentationLevelSet is commonly used to refine a manually generated manual mask.

version: 0.3.0

license: CC

contributor: Regina Kim

acknowledgements: This command module was derived from Insight/Examples/Segmentation/CannySegmentationLevelSetImageFilter.cxx (copyright) Insight Software Consortium. See http://wiki.na-mic.org/Wiki/index.php/Slicer3:Execution_Model_Documentation for more detailed descriptions.

Inputs:

    [Mandatory]

    [Optional]
    args: (a string)
            Additional parameters to the command
            flag: %s
    distance: (an integer)
            flag: --distance %d
    environ: (a dictionary with keys which are a value of type 'str' and
             with values which are a value of type 'str', nipype default value:
             {})
            Environment variables
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    inputMaskVolume: (an existing file name)
            flag: --inputMaskVolume %s
    inputVolume: (an existing file name)
            flag: --inputVolume %s
    insideROIValue: (a float)
            flag: --insideROIValue %f
    outputFilename: (a boolean or a file name)
            flag: --outputFilename %s
    terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
            Control terminal output: `stream` - displays to terminal immediately
            (default), `allatonce` - waits till command is finished to display
            output, `file` - writes output to file, `none` - output is ignored

Outputs:

    outputFilename: (an existing file name)