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Showing content from http://www.arrayfire.org/docs/group__image__func__regions.htm below:

ArrayFire: regions

Find blobs in given image. More...

Find blobs in given image.

Given a binary image (with zero representing background pixels), regions computes a floating point image where each connected component is labeled from 1 to N, the total number of components in the image.

A component is defined as one or more nonzero pixels that are connected by the specified connectivity (either 4-way(AF_CONNECTIVITY_4) or 8-way(AF_CONNECTIVITY_8)) in two dimensions.

An example input and output for 8-connectivity

The default connectivity is AF_CONNECTIVITY_4.

◆ af_regions()

C Interface for regions in an image.

Parameters
[out] out array will have labels indicating different regions [in] in array should be binary image of type b8 [in] connectivity can take one of the following [AF_CONNECTIVITY_4 | AF_CONNECTIVITY_8] [in] ty is type of output array
Returns
AF_SUCCESS if the regions are identified successfully, otherwise an appropriate error code is returned.
◆ regions()

C++ Interface for getting regions in an image.

Below given are sample input and output for each type of connectivity value for type

Example for type == AF_CONNECTIVITY_8 Example for type == AF_CONNECTIVITY_4

A multi dimensional data container.

@ b8

8-bit boolean values

@ AF_CONNECTIVITY_8

Connectivity includes 4-connectivity neigbors and also those on Northeast, Northwest,...

AFAPI array regions(const array &in, const af::connectivity connectivity=AF_CONNECTIVITY_4, const dtype type=f32)

C++ Interface for getting regions in an image.

@ AF_CONNECTIVITY_4

Connectivity includes neighbors, North, East, South and West of current pixel.

Parameters
Returns
returns array with labels indicating different regions. Throws exceptions if any issue occur.

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