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DetectPaths
Header: | AVL.h |
---|---|
Namespace: | avl |
Module: | FoundationBasic |
Finds a specified shape in an image using Hough Transform.
Applications: This is an old algorithm for template matching. Quite slow.
Syntax
C++
C#
void avl::DetectPaths ( const avl::Image& inImage, atl::Optional<const avl::Region&> inRoi, const avl::Path& inPath, float inMinScore, float inEdgeThreshold, atl::Array<avl::Path>& outPaths, atl::Array<float>& outScores, avl::Image& diagGradientMagnitudeImage, avl::Image& diagScoreImage )
Parameters
Name | Type | Range | Default | Description | |
---|---|---|---|---|---|
inImage | const Image& | Input image | |||
inRoi | Optional<const Region&> | NIL | Input region of interest | ||
inPath | const Path& | Input path | |||
inMinScore | float | 0.0 - | 20.0f | Minimum matching score | |
inEdgeThreshold | float | 10.0f | Minimum accepted edge magnitude | ||
outPaths | Array<Path>& | Output paths | |||
outScores | Array<float>& | Output scores | |||
diagGradientMagnitudeImage | Image& | Visualized gradients magnitude of an input image | |||
diagScoreImage | Image& | Calculated score for each pixel of an input image |
Description
The operation detects paths in the inImage using the Generalized Hough Transform approach. The output array is ordered from best matching to worst matching results.
Examples
Remarks
DetectPaths is not scale- or rotation-invariant (slightly scaled or rotated paths are, however, detected properly).
Long inPaths cause long computation time.
Errors
List of possible exceptions:
Error type | Description |
---|---|
DomainError | Degenerate path in DetectPaths. |
See Also
- DetectLines – Finds lines in an image using Hough Transform.
- DetectMultipleCircles – Finds circles of a given radius in the input image using Hough Transform.
- DetectSegments – Finds segments in an image using Hough Transform.