Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from http://libvips.github.io/libvips/API/current/method.Image.hough_circle.html below:

Vips.Image.hough_circle

int
vips_hough_circle (
  VipsImage* in,
  VipsImage** out,
  ...
)

Find the circular Hough transform of an image. in must be one band, with non-zero pixels for image edges. out is three-band, with the third channel representing the detected circle radius. The operation scales the number of votes by circle circumference so circles of differing size are given equal weight.

The output pixel at (x, y, band) is the strength of the circle centred on (x, y) and with radius (band).

Use max_radius and min_radius to set the range of radii to search for.

Use scale to set how in coordinates are scaled to out coordinates. A scale of 3, for example, will make out 1/3rd of the width and height of in, and reduce the number of radii tested (and hence the number of bands int out) by a factor of three as well.

Optional arguments

• scale: gint, scale down dimensions by this much
• min_radius: gint, smallest radius to search for
• max_radius: gint, largest radius to search for

This method is not directly available to language bindings.

out

Type: VipsImage

Output image.

The argument will be set by the function. The caller of the method takes ownership of the returned data, and is responsible for freeing it.

...

Type: 

NULL-terminated list of optional named arguments.

Type: int

0 on success, -1 on error.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4