Field Detail

• DOCUMENTATION_STING

  public static final String DOCUMENTATION_STING

  See Also:

  Constant Field Values

Constructor Detail

• ImgLibSubtract

  public ImgLibSubtract()

Method Detail

• evaluate

  public final <R extends RealType<R>> float evaluate(R t1,
                                                      R t2)

  Description copied from class: TwoOperandsPixelBasedAbstractFunction
  Evaluate this function on two numeric types. Argument types can be of any numeric type, but a float must be returned, so as to avoid underflow and overflow problems on bounded types (e.g. ByeType).

  Specified by:

  evaluate in class TwoOperandsPixelBasedAbstractFunction<T extends RealType<T>>

  Parameters:

  t1 - The first number

  t2 - The second number

  Returns:

  The resulting number

• getFunctionString

  public String getFunctionString()

  Description copied from interface: ImgLibFunction
  Return a String containing the function name, that is, how this function must be represented in an expression to be called. Examples: "+", "gauss", "cos", ...

• toString

  public String toString()

  Description copied from interface: ImgLibFunction
  Return a String describing this operator. Example: "Addition of two operands", "Gaussian convolution", "Element-wise cosine", ...

  Specified by:

  toString in interface ImgLibFunction<T extends RealType<T>>

  Overrides:

  toString in class Object

• getDocumentationString

  public String getDocumentationString()

  Description copied from interface: ImgLibFunction
  Returns a documentation string that documents in enough details what the function does, and how. The String can use html syntax in it for formatting.

  Example:

  Gaussian convolution

  This function implements the isotropic gaussian convolution, as coded in ImgLib, effectively implementing a gaussian filter. Syntax:
  >> gauss(A, sigma)
  with A an image and sigma a number. Sigma is the standard deviation of the gaussian kernel applied to image A.
  Input image is converted to FloatType then convolved. If the source image is a 3D image, the convolution will be made in 3D as well.