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CreateCircleFittingMap


Precomputes a data object that is required for fast circle fitting on images.

Syntax

C++
C#
 
void avl::CreateCircleFittingMap
(
	const avl::ImageFormat& inImageFormat,
	const avl::CircleFittingField& inFittingField,
	atl::Optional<const avl::CoordinateSystem2D&> inFittingFieldAlignment,
	const int inScanCount,
	const int inScanWidth,
	avl::InterpolationMethod::Type inImageInterpolation,
	avl::CircleFittingMap& outFittingMap,
	atl::Array<avl::Segment2D>& diagScanSegments,
	atl::Array<avl::Rectangle2D>& diagSamplingAreas
)

Parameters

Name Type Range Default Description
inImageFormat const ImageFormat& Dimensions, depth and pixel type of the images on which fitting will be performed
inFittingField const CircleFittingField& Defines a ring in which scan segments will be created
inFittingFieldAlignment Optional<const CoordinateSystem2D&> NIL Adjusts the fitting field to the position of the inspected object
inScanCount const int 3 - 10 The number of points that will be searched to estimate the position of the circle
inScanWidth const int 1 - 5 The width of each scan field (in pixels)
inImageInterpolation InterpolationMethod::Type InterpolationMethod::​NearestNeighbour Interpolation method used for extraction of image pixel values
outFittingMap CircleFittingMap& Optimized data required for circle fitting
diagScanSegments Array<Segment2D>& Segments along which the scans will be run
diagSamplingAreas Array<Rectangle2D>& Scan fields created for point detection

Description

The operation creates a series of scan maps that can be later used by other Shape Fitting filters. Each scan map corresponds to a single scan segment of inScanWidth length.

The optional parameter inFittingFieldAlignment defines the transform to be performed on the inFittingField so that the result is defined in a new context, e.g. returned by one of Template Matching filters.

Remarks

For more information about local coordinate systems please refer to the following article.

This filter is a part of the Shape Fitting toolset. To read more about this technique, one can refer to the Shape Fitting chapter of our Machine Vision Guide

See Also