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 unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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: (u'stream' or u'allatonce' or u'file' or u'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 unicode 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 newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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 (int or long))
        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: (u'stream' or u'allatonce' or u'file' or u'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 unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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 (int or long))
        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: (u'stream' or u'allatonce' or u'file' or u'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 unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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 (int or long))
        size of structural element. sizeStructuralElement=1 means that 3x3x3
        structuring element for 3D
        flag: --sizeStructuralElement %d
terminal_output: (u'stream' or u'allatonce' or u'file' or u'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 unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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 (int or long))
        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: (u'stream' or u'allatonce' or u'file' or u'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 unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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: (u'stream' or u'allatonce' or u'file' or u'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 unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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 (int or long))
        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: (u'stream' or u'allatonce' or u'file' or u'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 unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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: (u'stream' or u'allatonce' or u'file' or u'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 unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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 (int or long))
        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: (u'stream' or u'allatonce' or u'file' or u'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 unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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 (int or long))
        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: (u'stream' or u'allatonce' or u'file' or u'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 unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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: (u'stream' or u'allatonce' or u'file' or u'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 unicode 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 newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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 (int or long))
        Optional value for number of Iterations
        flag: --numberOfIterations %d
outputVolume: (a boolean or a file name)
        Required: output image
        flag: --outputVolume %s
terminal_output: (u'stream' or u'allatonce' or u'file' or u'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 (int or long))
        Determine Scale of Ball
        flag: --Scale %d
Strength: (a float)
        Determine Strength of Edges
        flag: --Strength %f
args: (a unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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 unicode string)
        Required: output image base name to be appended for each feature
        vector.
        flag: --outputVolumeBase %s
terminal_output: (u'stream' or u'allatonce' or u'file' or u'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 unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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 (int or long))
        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: (u'stream' or u'allatonce' or u'file' or u'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 unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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 (int or long))
        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: (u'stream' or u'allatonce' or u'file' or u'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 unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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 (int or long))
        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: (u'stream' or u'allatonce' or u'file' or u'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 unicode string)
        Additional parameters to the command
        flag: %s
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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 (int or long))
        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: (u'stream' or u'allatonce' or u'file' or u'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 unicode string)
        Additional parameters to the command
        flag: %s
distance: (an integer (int or long))
        flag: --distance %d
environ: (a dictionary with keys which are a newbytes or None or a
         newstr or None and with values which are a newbytes or None or a
         newstr or None, 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: (u'stream' or u'allatonce' or u'file' or u'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)