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ScanSingleStripe_Direct


Header: AVL.h
Namespace: avl
Module: MetrologyBasic

Locates the strongest pair of edges across a given path (without a scan map).

Applications: Very fast detection or measurement of an object defined by a pair of opposite edges.

Syntax

C++
C#
 
void avl::ScanSingleStripe_Direct
(
	const avl::Image& inImage,
	const avl::Path& inScanPath,
	atl::Optional<const avl::CoordinateSystem2D&> inScanPathAlignment,
	int inScanWidth,
	const avl::SamplingParams& inSamplingParams,
	const avl::StripeScanParams& inStripeScanParams,
	avl::Selection::Type inStripeSelection,
	atl::Optional<const avl::LocalBlindness&> inLocalBlindness,
	atl::Conditional<avl::Stripe1D>& outStripe,
	atl::Optional<avl::Path&> outAlignedScanPath = atl::NIL,
	atl::Optional<avl::Profile&> outBrightnessProfile = atl::NIL,
	atl::Optional<avl::Profile&> outResponseProfile = atl::NIL,
	atl::Array<avl::Path>& diagSamplingPoints,
	float& diagSamplingStep
)

Parameters

Name Type Range Default Description
Input value inImage const Image& Input image
Input value inScanPath const Path& Path along which the scan is performed
Input value inScanPathAlignment Optional<const CoordinateSystem2D&> NIL Adjusts the scan path to the position of the inspected object
Input value inScanWidth int 1 - 5 Width of the scan field in pixels
Input value inSamplingParams const SamplingParams& SamplingParams ( Interpolation: Bilinear SamplingStep: 1.0f SampleCount: Nil ) Parameters controlling the sampling process
Input value 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
Input value inStripeSelection Selection::Type Selection mode of the resulting stripe
Input value inLocalBlindness Optional<const LocalBlindness&> NIL Defines conditions in which weaker edges can be detected in the vicinity of stronger edges
Output value outStripe Conditional<Stripe1D>& Found stripe
Output value outAlignedScanPath Optional<Path&> NIL Transformed input path
Output value outBrightnessProfile Optional<Profile&> NIL Extracted image profile
Output value outResponseProfile Optional<Profile&> NIL Profile of the edge (derivative) operator response
Diagnostic input diagSamplingPoints Array<Path>& Array of paths each one containing the sampling points that contributes to a single value of the extracted profile
Diagnostic input diagSamplingStep float& Used distance between consecutive sampling points on the scan path

Optional Outputs

The computation of following outputs can be switched off by passing value atl::NIL to these parameters: outAlignedScanPath, outBrightnessProfile, outResponseProfile.

Read more about Optional Outputs.

Description

The operation scans the image along inScanPath and locates the strongest stripe (i.e. a pair of opposite-polarity edges running across the path) of the given characteristics. If there is no such stripe then the outputs are set to NIL.

The optional parameter inScanPathAlignment defines a transform to be performed on the inScanPath so that the actual scan path (outAlignedScanPath) is adjusted to the position of the object, typically detected by one of Template Matching filters.

Hints

  • Define inStripeScanParams.StripePolarity to detect a particular edge type, and only that type.
  • If no stripe is found, try decreasing inStripeScanParams.MinMagnitude. Verify this with the values on the outResponseProfile output.
  • If consecutive edges are closer than 6 pixels apart, change inStripeScanParams.ProfileInterpolation to Quadratic3.

Examples

ScanSingleStripe_Direct locates the strongest stripe across inScanPath.

Remarks

Read more about Local Coordinate Systems in Machine Vision Guide: Local Coordinate Systems.

This filter is a part of the 1D Edge Detection toolset. For a comprehensive introduction to this technique please refer to 1D Edge Detection and 1D Edge Detection - Subpixel Precision chapters of our Machine Vision Guide.

See Also

  • CreateScanMap – Precomputes a data object that is required for fast 1D edge detection.
  • ScanExactlyNStripes_Direct – Locates a specified number of multiple pairs of opposite edges across a given path (without a scan map).