You are here: Start » AVL.NET » AVL.ScanSingleStripe(AvlNet.Image, AvlNet.ScanMap, AvlNet.StripeScanParams, AvlNet.Selection, AvlNet.LocalBlindness, AvlNet.Stripe1D?, AvlNet.Profile, AvlNet.Profile)

AVL.ScanSingleStripe(AvlNet.Image, AvlNet.ScanMap, AvlNet.StripeScanParams, AvlNet.Selection, AvlNet.LocalBlindness, AvlNet.Stripe1D?, AvlNet.Profile, AvlNet.Profile)

Locates the strongest pair of edges across a given path.

Namespace:AvlNet
Assembly:AVL.NET.dll

Syntax


public static void ScanSingleStripe(
	AvlNet.Image inImage,
	AvlNet.ScanMap inScanMap,
	AvlNet.StripeScanParams inStripeScanParams,
	AvlNet.Selection inStripeSelection,
	AvlNet.LocalBlindness inLocalBlindness,
	out AvlNet.Stripe1D? outStripe,
	out AvlNet.Profile diagBrightnessProfile,
	out AvlNet.Profile diagResponseProfile
)

Parameters

inImage
Type: AvlNet.Image
Input image
inScanMap
Type: AvlNet.ScanMap
Data precomputed with CreateScanMap
inStripeScanParams
Type: AvlNet.StripeScanParams
Parameters controlling the stripe extraction process
inStripeSelection
Type: AvlNet.Selection
Selection mode of the resulting stripe
inLocalBlindness
Type: AvlNet.LocalBlindness
Defines conditions in which weaker edges can be detected in the vicinity of stronger edges, or null.
outStripe
Type: System.Nullable<AvlNet.Stripe1D>
Found stripe
diagBrightnessProfile
Type: AvlNet.Profile
Extracted image profile
diagResponseProfile
Type: AvlNet.Profile
Profile of the edge (derivative) operator response

Description

The operation scans the image using inScanMap previously generated from a scan path 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.

Examples

ScanSingleStripe locates the strongest stripe using a scan map representing the scan path above.

Remarks

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

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