Hough Circle Transformation

Author: O.Conrad (c) 2023
Menu: Imagery | Segmentation

Description

Hough Circle Transformation.

References

OpenCV Tutorial | Hough Circle Transformation

Parameters

	Name	Type	Identifier	Description	Constraints
Input	Grid	grid, input	`GRID`	-	-
Output	Circles	shapes, output	`CIRCLES`	-	-
Options	Grid System	grid system	`PARAMETERS_GRID_SYSTEM`	-	-
	Unit	choice	`UNIT`	-	Available Choices: [0] cells [1] map units Default: 0
	Radius	value range	`RADIUS`	-	-
	Minimum Distance	floating point number	`MIN_DIST`	Minimum distance between the centers of the detected circles. If the parameter is too small, multiple neighbor circles may be falsely detected in addition to a true one. If it is too large, some circles may be missed.	Minimum: 0.000000 Default: 3.000000
	Method	choice	`METHOD`	-	Available Choices: [0] Hough gradient [1] Hough gradient (alternative) Default: 0
	Accumulator Resolution	floating point number	`RESOLUTION`	Inverse ratio of the accumulator resolution to the image resolution. if set to 1, the accumulator has the same resolution as the input image. If set to 2, the accumulator has half as big width and height. For 'Hough gradient (alternative)' the recommended value is 1.5, unless some small very circles need to be detected.	Minimum: 1.000000 Default: 3.000000

Command Line


Usage: saga_cmd imagery_opencv 16 [-GRID ] [-CIRCLES ] [-UNIT ] [-RADIUS_MIN ] [-RADIUS_MAX ] [-MIN_DIST ] [-METHOD ] [-RESOLUTION ]
  -GRID:         	Grid
	grid, input
  -CIRCLES:      	Circles
	shapes, output
  -UNIT:         	Unit
	choice
	Available Choices:
	[0] cells
	[1] map units
	Default: 0
  -RADIUS_MIN:	Radius
	value range
  -RADIUS_MAX:	Radius
	value range
  -MIN_DIST:  	Minimum Distance
	floating point number
	Minimum: 0.000000
	Default: 3.000000
  -METHOD:       	Method
	choice
	Available Choices:
	[0] Hough gradient
	[1] Hough gradient (alternative)
	Default: 0
  -RESOLUTION:	Accumulator Resolution
	floating point number
	Minimum: 1.000000
	Default: 3.000000