You are here: Start » Function Reference » Computer Vision » Shape Fitting » FitCircleToStripe_Direct

FitCircleToStripe_Direct
Header: | FIL.h |
---|---|
Namespace: | fil |
Module: | MetrologyPro |
Performs a series 1D stripe detections and finds a circle that best matches the detected points.
Applications: Precise detection of ring-shaped objects, whose rough location is known beforehand.
Syntax
void fil::FitCircleToStripe_Direct ( const fil::Image& inImage, const fil::CircleFittingField& inFittingField, ftl::Optional<const fil::CoordinateSystem2D&> inFittingFieldAlignment, int inScanCount, int inScanWidth, const fil::SamplingParams& inSamplingParams, const fil::StripeScanParams& inStripeScanParams, fil::Selection::Type inStripeSelection, ftl::Optional<const fil::LocalBlindness&> inLocalBlindness, float inMaxIncompleteness, fil::CircleFittingMethod::Type inFittingMethod, ftl::Optional<fil::MEstimator::Type> inOutlierSuppression, ftl::Conditional<fil::Circle2D>& outCircle, ftl::Conditional<fil::Circle2D>& outInnerCircle, ftl::Conditional<fil::Circle2D>& outOuterCircle, ftl::Optional<ftl::Array<ftl::Conditional<fil::Stripe1D>>&> outStripes = ftl::NIL, ftl::Optional<ftl::Array<fil::Point2D>&> outStripePoints = ftl::NIL, ftl::Optional<ftl::Conditional<fil::Profile>&> outDeviationProfile = ftl::NIL, ftl::Optional<fil::CircleFittingField&> outAlignedFittingField = ftl::NIL, ftl::Optional<ftl::Array<fil::Profile>&> outBrightnessProfiles = ftl::NIL, ftl::Optional<ftl::Array<fil::Profile>&> outResponseProfiles = ftl::NIL, ftl::Array<fil::Segment2D>& diagScanSegments, ftl::Array<fil::Rectangle2D>& diagSamplingAreas )
Parameters
Name | Type | Range | Default | Description | |
---|---|---|---|---|---|
![]() |
inImage | const Image& | Image to fit the circle to | ||
![]() |
inFittingField | const CircleFittingField& | Circle fitting field | ||
![]() |
inFittingFieldAlignment | Optional<const CoordinateSystem2D&> | NIL | Adjusts the fitting field to the position of the inspected object | |
![]() |
inScanCount | int | 3 - ![]() |
10 | The number of points that will be searched to estimate the position of the circle |
![]() |
inScanWidth | int | 1 - ![]() |
5 | The width of each scan field (in pixels) |
![]() |
inSamplingParams | const SamplingParams& | Parameters controlling the sampling process | ||
![]() |
inStripeScanParams | const StripeScanParams& | StripeScanParams ( ProfileInterpolation: Quadratic4 SmoothingStdDev: 0.6f MinMagnitude: 5.0f MaxInnerEdgeMagnitude: Nil StripePolarity: Dark MinStripeWidth: 0.0f MaxStripeWidth: Nil ) | Parameters controlling the stripe extraction process | |
![]() |
inStripeSelection | Selection::Type | Selection mode of stripe | ||
![]() |
inLocalBlindness | Optional<const LocalBlindness&> | NIL | Defines conditions in which weaker edges can be detected in the vicinity of stronger edges | |
![]() |
inMaxIncompleteness | float | 0.0 - 0.999 | 0.1f | Maximal fraction of stripe points not found |
![]() |
inFittingMethod | CircleFittingMethod::Type | AlgebraicTaubin | Method used to fit a circle | |
![]() |
inOutlierSuppression | Optional<MEstimator::Type> | NIL | Selects a method for ignoring incorrectly detected points | |
![]() |
outCircle | Conditional<Circle2D>& | Fitted circle in the middle of found stripe | ||
![]() |
outInnerCircle | Conditional<Circle2D>& | Fitted inner circle | ||
![]() |
outOuterCircle | Conditional<Circle2D>& | Fitted outer circle | ||
![]() |
outStripes | Optional<Array<Conditional<Stripe1D>>&> | NIL | Found stripes | |
![]() |
outStripePoints | Optional<Array<Point2D>&> | NIL | Extracted points of middle circle of an image stripe | |
![]() |
outDeviationProfile | Optional<Conditional<Profile>&> | NIL | Profile of distances between the actual circle points and the corresponding reference circle points | |
![]() |
outAlignedFittingField | Optional<CircleFittingField&> | NIL | Fitting field used; in the image coordinate system | |
![]() |
outBrightnessProfiles | Optional<Array<Profile>&> | NIL | Extracted image profiles | |
![]() |
outResponseProfiles | Optional<Array<Profile>&> | NIL | Profiles of the edge (derivative) operator response | |
![]() |
diagScanSegments | Array<Segment2D>& | Segments along which the scans were run | ||
![]() |
diagSamplingAreas | Array<Rectangle2D>& | Areas from which the input image is sampled |
Optional Outputs
The computation of following outputs can be switched off by passing value ftl::NIL
to these parameters: outStripes, outStripePoints, outDeviationProfile, outAlignedFittingField, outBrightnessProfiles, outResponseProfiles.
Read more about Optional Outputs.
Description
The operation tries to fit a given circle to stripe present in the inImage image. Internally, it performs a series of scans with the ScanSingleStripe_Direct filter along inScanCount specific scan segments which length is always equal to the inFittingField width and cannot be less than 4. The found points are then used to determine the actual position of the circle in the image. Only inMaxIncompleteness fraction of these scans may fail. If the fitting according to the given parameters is not possible, outCircle is set to Nil.
Hints
- Connect an input image to the inImage input.
- Define inStripeScanParams.StripePolarity to detect a particular stripe type, and only that type.
- Adjust inStripeScanParams.MinStripeWidth and inStripeScanParams.MaxStripeWidth to the expected thickness of the stripe (in pixels).
- If no or too few stripe points are found, try decreasing inStripeScanParams.MinMagnitude.
- If some of the scans may fail, set the inMaxIncompleteness input accordingly.
- If some of the scans may produce false results, try different values of the inOutlierSuppression input.
- Use the outStripePoints outputs to visualize the scanning results.
Examples

Fitting a circle to the dark circular stripe of a washer
(inStripeScanParams.Polarity = Dark).
Remarks
Read more about Local Coordinate Systems in Machine Vision Guide: Local Coordinate Systems.
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
Hardware Acceleration
This operation supports automatic parallelization for multicore and multiprocessor systems.
See Also
- CreateCircleFittingMap – Precomputes a data object that is required for fast circle fitting on images.
- FitCircleToEdges_Direct – Performs a series of 1D edge detections and finds a circle that best matches the detected points.
- FitCircleToRidges_Direct – Performs a series of 1D ridge detections and finds a circle that best matches the detected points.
- FitCircleToStripe – Performs a series 1D stripe detections and finds a circle that best matches the detected points.