sobel

Sobel Operators. More...

Functions
AFAPI void	sobel (array &dx, array &dy, const array &img, const unsigned ker_size=3)
	C++ Interface for extracting sobel gradients. More...
AFAPI array	sobel (const array &img, const unsigned ker_size=3, const bool isFast=false)
	C++ Interface for sobel filtering. More...
AFAPI af_err	af_sobel_operator (af_array *dx, af_array *dy, const af_array img, const unsigned ker_size)
	C Interface for getting sobel gradients. More...

Detailed Description

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.

---

Function Documentation

af_sobel_operator()

AFAPI af_err af_sobel_operator	(	af_array *	dx,
		af_array *	dy,
		const af_array	img,
		const unsigned	ker_size
	)

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]

AFAPI void sobel	(	array &	dx,
		array &	dy,
		const array &	img,
		const unsigned	ker_size = 3
	)

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 array &	img,
		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.