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Showing content from https://arrayfire.org/docs/group__image__func__sobel.htm below:

ArrayFire: sobel

Sobel Operators. More...

Sobel Operators.

Sobel operators perform a 2-D spatial gradient measurement on an image to emphasize the regions of high spatial frequency, namely edges. A more in depth discussion on it can be found here.

◆ af_sobel_operator()

C Interface for getting sobel gradients.

Parameters
[out] dx is derivative along horizontal direction [out] dy is derivative along vertical direction [in] img is an array with image data [in] ker_size sobel kernel size or window size
Returns
AF_SUCCESS if sobel derivatives are computed successfully, otherwise an appropriate error code is returned.
Note
If img is 3d array, a batch operation will be performed.
◆ sobel() [1/2]

C++ Interface for extracting sobel gradients.

Parameters
[out] dx is derivative along horizontal direction [out] dy is derivative along vertical direction [in] img is an array with image data [in] ker_size sobel kernel size or window size
Note
If img is 3d array, a batch operation will be performed.
Examples
image_processing/filters.cpp.
◆ sobel() [2/2] AFAPI array sobel ( const arrayimg, const unsigned  ker_size = 3, const bool  isFast = false  )

C++ Interface for sobel filtering.

Parameters
[in] img is an array with image data [in] ker_size sobel kernel size or window size [in] isFast = true uses \(G=G_x+G_y\), otherwise \(G=\sqrt (G_x^2+G_y^2)\)
Returns
an array with sobel gradient values
Note
If img is 3d array, a batch operation will be performed.

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