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# nipype.interfaces.semtools.filtering.featuredetection module

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## CannyEdge

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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.

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputVolumea pathlike object or string representing an existing file

>   Required: input tissue label image. Maps to a command-line argument: `--inputVolume %s`.

> lowerThresholda 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. . Maps to a command-line argument: `--lowerThreshold %f`.

> outputVolumea boolean or a pathlike object or string representing a file

>   Required: output image. Maps to a command-line argument: `--outputVolume %s`.

> upperThresholda 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. . Maps to a command-line argument: `--upperThreshold %f`.

> variancea float

>   Variance and Maximum error are used in the Gaussian smoothing of the input image. See itkDiscreteGaussianImageFilter for information on these parameters. Maps to a command-line argument: `--variance %f`.

> outputVolumea pathlike object or string representing an existing file

>   Required: output image.

## CannySegmentationLevelSetImageFilter

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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.

> advectionWeighta float

>   Controls the smoothness of the resulting mask, small number are more smooth, large numbers allow more sharp corners. . Maps to a command-line argument: `--advectionWeight %f`.

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> cannyThresholda float

>   Canny Threshold Value. Maps to a command-line argument: `--cannyThreshold %f`.

> cannyVariancea float

>   Canny variance. Maps to a command-line argument: `--cannyVariance %f`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> initialModela pathlike object or string representing an existing file

>   Maps to a command-line argument: `--initialModel %s`.

> initialModelIsovaluea 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). Maps to a command-line argument: `--initialModelIsovalue %f`.

> inputVolumea pathlike object or string representing an existing file

>   Maps to a command-line argument: `--inputVolume %s`.

> maxIterationsan integer

>   The. Maps to a command-line argument: `--maxIterations %d`.

> outputSpeedVolumea boolean or a pathlike object or string representing a file

>   Maps to a command-line argument: `--outputSpeedVolume %s`.

> outputVolumea boolean or a pathlike object or string representing a file

>   Maps to a command-line argument: `--outputVolume %s`.

> outputSpeedVolume : a pathlike object or string representing an existing file outputVolume : a pathlike object or string representing an existing file

## DilateImage

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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.

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputMaskVolumea pathlike object or string representing an existing file

>   Required: input brain mask image. Maps to a command-line argument: `--inputMaskVolume %s`.

> inputRadiusan integer

>   Required: input neighborhood radius. Maps to a command-line argument: `--inputRadius %d`.

> inputVolumea pathlike object or string representing an existing file

>   Required: input image. Maps to a command-line argument: `--inputVolume %s`.

> outputVolumea boolean or a pathlike object or string representing a file

>   Required: output image. Maps to a command-line argument: `--outputVolume %s`.

> outputVolumea pathlike object or string representing an existing file

>   Required: output image.

## DilateMask

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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.

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputBinaryVolumea pathlike object or string representing an existing file

>   Required: input brain mask image. Maps to a command-line argument: `--inputBinaryVolume %s`.

> inputVolumea pathlike object or string representing an existing file

>   Required: input image. Maps to a command-line argument: `--inputVolume %s`.

> lowerThresholda float

>   Required: lowerThreshold value. Maps to a command-line argument: `--lowerThreshold %f`.

> outputVolumea boolean or a pathlike object or string representing a file

>   Required: output image. Maps to a command-line argument: `--outputVolume %s`.

> sizeStructuralElementan integer

>   Size of structural element. sizeStructuralElement=1 means that 3x3x3 structuring element for 3D. Maps to a command-line argument: `--sizeStructuralElement %d`.

> outputVolumea pathlike object or string representing an existing file

>   Required: output image.

## DistanceMaps

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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.

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputLabelVolumea pathlike object or string representing an existing file

>   Required: input tissue label image. Maps to a command-line argument: `--inputLabelVolume %s`.

> inputMaskVolumea pathlike object or string representing an existing file

>   Required: input brain mask image. Maps to a command-line argument: `--inputMaskVolume %s`.

> inputTissueLabelan integer

>   Required: input integer value of tissue type used to calculate distance. Maps to a command-line argument: `--inputTissueLabel %d`.

> outputVolumea boolean or a pathlike object or string representing a file

>   Required: output image. Maps to a command-line argument: `--outputVolume %s`.

> outputVolumea pathlike object or string representing an existing file

>   Required: output image.

## DumpBinaryTrainingVectors

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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.

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputHeaderFilenamea pathlike object or string representing an existing file

>   Required: input header file name. Maps to a command-line argument: `--inputHeaderFilename %s`.

> inputVectorFilenamea pathlike object or string representing an existing file

>   Required: input vector filename. Maps to a command-line argument: `--inputVectorFilename %s`.

## ErodeImage

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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.

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputMaskVolumea pathlike object or string representing an existing file

>   Required: input brain mask image. Maps to a command-line argument: `--inputMaskVolume %s`.

> inputRadiusan integer

>   Required: input neighborhood radius. Maps to a command-line argument: `--inputRadius %d`.

> inputVolumea pathlike object or string representing an existing file

>   Required: input image. Maps to a command-line argument: `--inputVolume %s`.

> outputVolumea boolean or a pathlike object or string representing a file

>   Required: output image. Maps to a command-line argument: `--outputVolume %s`.

> outputVolumea pathlike object or string representing an existing file

>   Required: output image.

## FlippedDifference

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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.

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputMaskVolumea pathlike object or string representing an existing file

>   Required: input brain mask image. Maps to a command-line argument: `--inputMaskVolume %s`.

> inputVolumea pathlike object or string representing an existing file

>   Required: input image. Maps to a command-line argument: `--inputVolume %s`.

> outputVolumea boolean or a pathlike object or string representing a file

>   Required: output image. Maps to a command-line argument: `--outputVolume %s`.

> outputVolumea pathlike object or string representing an existing file

>   Required: output image.

## GenerateBrainClippedImage

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputImga pathlike object or string representing an existing file

>   Input volume 1, usually t1 image. Maps to a command-line argument: `--inputImg %s`.

> inputMska pathlike object or string representing an existing file

>   Input volume 2, usually t2 image. Maps to a command-line argument: `--inputMsk %s`.

> numberOfThreadsan integer

>   Explicitly specify the maximum number of threads to use. Maps to a command-line argument: `--numberOfThreads %d`.

> outputFileNamea boolean or a pathlike object or string representing a file

>   (required) output file name. Maps to a command-line argument: `--outputFileName %s`.

> outputFileNamea pathlike object or string representing an existing file

>   (required) output file name.

## GenerateSummedGradientImage

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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

> MaximumGradienta boolean

>   If set this flag, it will compute maximum gradient between two input volumes instead of sum of it. Maps to a command-line argument: `--MaximumGradient`.

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputVolume1a pathlike object or string representing an existing file

>   Input volume 1, usually t1 image. Maps to a command-line argument: `--inputVolume1 %s`.

> inputVolume2a pathlike object or string representing an existing file

>   Input volume 2, usually t2 image. Maps to a command-line argument: `--inputVolume2 %s`.

> numberOfThreadsan integer

>   Explicitly specify the maximum number of threads to use. Maps to a command-line argument: `--numberOfThreads %d`.

> outputFileNamea boolean or a pathlike object or string representing a file

>   (required) output file name. Maps to a command-line argument: `--outputFileName %s`.

> outputFileNamea pathlike object or string representing an existing file

>   (required) output file name.

## GenerateTestImage

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputVolumea pathlike object or string representing an existing file

>   Input volume 1, usually t1 image. Maps to a command-line argument: `--inputVolume %s`.

> lowerBoundOfOutputVolumea float

>   Maps to a command-line argument: `--lowerBoundOfOutputVolume %f`.

> outputVolumea boolean or a pathlike object or string representing a file

>   (required) output file name. Maps to a command-line argument: `--outputVolume %s`.

> outputVolumeSizea float

>   Output Volume Size. Maps to a command-line argument: `--outputVolumeSize %f`.

> upperBoundOfOutputVolumea float

>   Maps to a command-line argument: `--upperBoundOfOutputVolume %f`.

> outputVolumea pathlike object or string representing an existing file

>   (required) output file name.

## GradientAnisotropicDiffusionImageFilter

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> conductancea float

>   Conductance for diffusion process. Maps to a command-line argument: `--conductance %f`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputVolumea pathlike object or string representing an existing file

>   Required: input image. Maps to a command-line argument: `--inputVolume %s`.

> numberOfIterationsan integer

>   Optional value for number of Iterations. Maps to a command-line argument: `--numberOfIterations %d`.

> outputVolumea boolean or a pathlike object or string representing a file

>   Required: output image. Maps to a command-line argument: `--outputVolume %s`.

> timeStepa float

>   Time step for diffusion process. Maps to a command-line argument: `--timeStep %f`.

> outputVolumea pathlike object or string representing an existing file

>   Required: output image.

## HammerAttributeCreator

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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.

> Scalean integer

>   Determine Scale of Ball. Maps to a command-line argument: `--Scale %d`.

> Strengtha float

>   Determine Strength of Edges. Maps to a command-line argument: `--Strength %f`.

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputCSFVolumea pathlike object or string representing an existing file

>   Required: input CSF posterior image. Maps to a command-line argument: `--inputCSFVolume %s`.

> inputGMVolumea pathlike object or string representing an existing file

>   Required: input grey matter posterior image. Maps to a command-line argument: `--inputGMVolume %s`.

> inputWMVolumea pathlike object or string representing an existing file

>   Required: input white matter posterior image. Maps to a command-line argument: `--inputWMVolume %s`.

> outputVolumeBasea string

>   Required: output image base name to be appended for each feature vector. Maps to a command-line argument: `--outputVolumeBase %s`.

## NeighborhoodMean

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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.

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputMaskVolumea pathlike object or string representing an existing file

>   Required: input brain mask image. Maps to a command-line argument: `--inputMaskVolume %s`.

> inputRadiusan integer

>   Required: input neighborhood radius. Maps to a command-line argument: `--inputRadius %d`.

> inputVolumea pathlike object or string representing an existing file

>   Required: input image. Maps to a command-line argument: `--inputVolume %s`.

> outputVolumea boolean or a pathlike object or string representing a file

>   Required: output image. Maps to a command-line argument: `--outputVolume %s`.

> outputVolumea pathlike object or string representing an existing file

>   Required: output image.

## NeighborhoodMedian

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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.

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputMaskVolumea pathlike object or string representing an existing file

>   Required: input brain mask image. Maps to a command-line argument: `--inputMaskVolume %s`.

> inputRadiusan integer

>   Required: input neighborhood radius. Maps to a command-line argument: `--inputRadius %d`.

> inputVolumea pathlike object or string representing an existing file

>   Required: input image. Maps to a command-line argument: `--inputVolume %s`.

> outputVolumea boolean or a pathlike object or string representing a file

>   Required: output image. Maps to a command-line argument: `--outputVolume %s`.

> outputVolumea pathlike object or string representing an existing file

>   Required: output image.

## STAPLEAnalysis

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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.

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputDimensionan integer

>   Required: input image Dimension 2 or 3. Maps to a command-line argument: `--inputDimension %d`.

> inputLabelVolumea list of items which are a pathlike object or string representing an existing file

>   Required: input label volume. Maps to a command-line argument: `--inputLabelVolume %s...`.

> outputVolumea boolean or a pathlike object or string representing a file

>   Required: output image. Maps to a command-line argument: `--outputVolume %s`.

> outputVolumea pathlike object or string representing an existing file

>   Required: output image.

## TextureFromNoiseImageFilter

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputRadiusan integer

>   Required: input neighborhood radius. Maps to a command-line argument: `--inputRadius %d`.

> inputVolumea pathlike object or string representing an existing file

>   Required: input image. Maps to a command-line argument: `--inputVolume %s`.

> outputVolumea boolean or a pathlike object or string representing a file

>   Required: output image. Maps to a command-line argument: `--outputVolume %s`.

> outputVolumea pathlike object or string representing an existing file

>   Required: output image.

## TextureMeasureFilter

Link to code

> Bases: SEMLikeCommandLine

> Wrapped executable: `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.

> argsa string

>   Additional parameters to the command. Maps to a command-line argument: `%s`.

> distancean integer

>   Maps to a command-line argument: `--distance %d`.

> environa dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’

>   Environment variables. (Nipype default value: `{}`)

> inputMaskVolumea pathlike object or string representing an existing file

>   Maps to a command-line argument: `--inputMaskVolume %s`.

> inputVolumea pathlike object or string representing an existing file

>   Maps to a command-line argument: `--inputVolume %s`.

> insideROIValuea float

>   Maps to a command-line argument: `--insideROIValue %f`.

> outputFilenamea boolean or a pathlike object or string representing a file

>   Maps to a command-line argument: `--outputFilename %s`.

> outputFilename : a pathlike object or string representing an existing file