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.
