boofcv 1.0.0

class: DiscreteFourierTransform

[88:7] extends: object

DiscreteFourierTransform wraps boofcv.abst.transform.fft.DiscreteFourierTransform.

Members

• obj

Methods

• DiscreteFourierTransform (object Obj)

  Wraps a BoofCV Fourier transform object.

  • @p Obj is an existing Fourier transform Java object or wrapper.

• forward (object Input, object Transform)

  Runs the forward transform.

  • @p Input is the real input image.
  • @p Transform is the complex output image.

• inverse (object Transform, object Output)

  Runs the inverse transform.

  • @p Transform is the complex input image.
  • @p Output is the real output image.

• setModifyInputs (bool ModifyInputs)

  Sets whether inputs may be modified.

  • @p ModifyInputs is true to allow modification.

• isModifyInputs ()

  Gets whether inputs may be modified.

  • @r True when inputs may be modified.

class: IntegralKernel

[166:7] extends: object

IntegralKernel wraps boofcv.alg.transform.ii.IntegralKernel.

Members

• obj

Methods

• IntegralKernel (int NumBlocks = 0, Obj = null)

  Creates or wraps an IntegralKernel.

  • @p NumBlocks is the number of blocks.
  • @p Obj is an existing Java object or null.

• resizeBlocks (int NumBlocks)

  Resizes the block list.

  • @p NumBlocks is the new number of blocks.

• getNumBlocks ()

  Gets the number of blocks.

  • @r The number of blocks.

• copy ()

  Copies this kernel.

  • @r An IntegralKernel wrapper.

class: IntegralImageOps

[194:14] static extends: object

Static wrappers for boofcv.alg.transform.ii.IntegralImageOps.

Methods

• transform (object Input, object Integral)

  Computes an integral image.

  • @p Input is the input image.
  • @p Integral is the output integral image.
  • @r The integral image Java object returned by BoofCV.

• convolve (object Integral, object Kernel, object Output)

  Convolves an integral image.

  • @p Integral is the integral image.
  • @p Kernel is an IntegralKernel wrapper or Java object.
  • @p Output is the output image.
  • @r The output image Java object returned by BoofCV.

• convolveBorder (object Integral, object Kernel, object Output, int BorderX, int BorderY)

  Convolves the border of an integral image.

  • @p Integral is the integral image.
  • @p Kernel is an IntegralKernel wrapper or Java object.
  • @p Output is the output image.
  • @p BorderX is the x border.
  • @p BorderY is the y border.
  • @r The output image Java object returned by BoofCV.

• block_unsafe (object Integral, int X0, int Y0, int X1, int Y1)

  Computes the sum in a rectangle without bounds checks.

  • @p Integral is the integral image.
  • @p X0 is the lower x.
  • @p Y0 is the lower y.
  • @p X1 is the upper x.
  • @p Y1 is the upper y.
  • @r The rectangle sum.

• block_zero (object Integral, int X0, int Y0, int X1, int Y1)

  Computes the sum in a rectangle with zero outside-image handling.

  • @p Integral is the integral image.
  • @p X0 is the lower x.
  • @p Y0 is the lower y.
  • @p X1 is the upper x.
  • @p Y1 is the upper y.
  • @r The rectangle sum.

class: WaveletTransformOps

[122:14] static extends: object

Static wrappers for boofcv.alg.transform.wavelet.WaveletTransformOps.

Methods

• transform1 (object Description, object Input, object Output, object Storage)

  Applies a one-level wavelet transform.

  • @p Description is a WaveletDescription Java object.
  • @p Input is the input image.
  • @p Output is the output image.
  • @p Storage is temporary storage.

• transformN (object Description, object Input, object Output, object Storage, int NumLevels)

  Applies an N-level wavelet transform.

  • @p Description is a WaveletDescription Java object.
  • @p Input is the input image.
  • @p Output is the output image.
  • @p Storage is temporary storage.
  • @p NumLevels is the number of levels.

• inverse1 (object Description, object Input, object Output, object Storage, MinValue, MaxValue)

  Applies a one-level inverse wavelet transform.

  • @p Description is a WaveletDescription Java object.
  • @p Input is the transformed image.
  • @p Output is the output image.
  • @p Storage is temporary storage.
  • @p MinValue is the minimum output value.
  • @p MaxValue is the maximum output value.

• inverseN (object Description, object Input, object Output, object Storage, int NumLevels, MinValue, MaxValue)

  Applies an N-level inverse wavelet transform.

  • @p Description is a WaveletDescription Java object.
  • @p Input is the transformed image.
  • @p Output is the output image.
  • @p Storage is temporary storage.
  • @p NumLevels is the number of levels.
  • @p MinValue is the minimum output value.
  • @p MaxValue is the maximum output value.

class: DiscreteFourierTransformOps

[22:14] static extends: object

Static wrappers for boofcv.alg.transform.fft.DiscreteFourierTransformOps.

Methods

• createTransformF32 ()

  Creates an F32 Fourier transform.

  • @r A DiscreteFourierTransform wrapper.

• createTransformF64 ()

  Creates an F64 Fourier transform.

  • @r A DiscreteFourierTransform wrapper.

• isPowerOf2 (int Value)

  Returns true when Value is a power of two.

  • @p Value is the value to test.
  • @r True when Value is a power of two.

• nextPow2 (int Value)

  Returns the next power of two.

  • @p Value is the input value.
  • @r The next power of two.

• magnitude (object Transform, object Magnitude)

  Computes complex magnitude.

  • @p Transform is an interleaved complex image.
  • @p Magnitude is the output gray image.

• phase (object Transform, object Phase)

  Computes complex phase.

  • @p Transform is an interleaved complex image.
  • @p Phase is the output gray image.

• realToComplex (object Real, object Complex)

  Converts real image data to interleaved complex data.

  • @p Real is a gray image.
  • @p Complex is an interleaved complex image.

• multiplyRealComplex (object Real, object Complex, object Output)

  Multiplies a real image by a complex image.

  • @p Real is a gray image.
  • @p Complex is the complex input.
  • @p Output is the complex output.

• multiplyComplex (object A, object B, object Output)

  Multiplies two complex images.

  • @p A is the first complex image.
  • @p B is the second complex image.
  • @p Output is the complex output.

• shiftZeroFrequency (object Transform, bool Forward)

  Shifts zero frequency to or from the image center.

  • @p Transform is an interleaved complex image.
  • @p Forward is true for forward shift.