calcGradients

Calculate gradient magnitude and orientation of an image slice.

void

calcGradients

(

InputTensor

V = DeepElementType!InputTensor

)

(

InputTensor input

,

ref Slice!(Contiguous, [2], V*) mag

,

ref Slice!(Contiguous, [2], V*) orient

,

EdgeKernel edgeKernelType = EdgeKernel.SIMPLE

,

TaskPool pool = taskPool

)

if (

isFloatingPoint!V

)

Parameters

input InputTensor: Input slice of an image.
mag Slice!(Contiguous, [2], V*): Output magnitude value of gradients. If shape does not correspond to input, is allocated anew.
orient Slice!(Contiguous, [2], V*): Orientation value of gradients in radians. If shape does not correspond to input, is allocated anew.
edgeKernelType EdgeKernel: Optional convolution kernel type to calculate partial derivatives. Default value is EdgeKernel.SIMPLE, which calls calcPartialDerivatives function to calculate derivatives. Other options will perform convolution with requested kernel type.
pool TaskPool: TaskPool instance used parallelise the algorithm.
Note: Input slice's memory has to be contiguous. Magnitude and orientation slices' strides have to be the identical.

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