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Precomputes a data object that is required for fast 1D edge detection.


void avl::CreateScanMap
	const avl::ImageFormat& inImageFormat,
	const avl::Path& inScanPath,
	atl::Optional<const avl::CoordinateSystem2D&> inScanPathAlignment,
	int inScanWidth,
	avl::InterpolationMethod::Type inImageInterpolation,
	avl::ScanMap& outScanMap,
	atl::Optional<avl::Path&> outAlignedScanPath = atl::NIL,
	atl::Array<avl::Path>& diagSamplingPoints


Name Type Range Default Description
inImageFormat const ImageFormat& Dimensions, depth and pixel type of the image on which edge detection will be performed
inScanPath const Path& Path along which the scan is performed
inScanPathAlignment Optional<const CoordinateSystem2D&> NIL Adjusts the scan path to the position of the inspected object
inScanWidth int 1 - 5 Width of the scan field in pixels
inImageInterpolation InterpolationMethod::Type Bilinear Interpolation method used for extraction of image pixel values
outScanMap ScanMap& Optimized data object required for 1D edge detection
outAlignedScanPath Optional<Path&> NIL Transformed input path
diagSamplingPoints Array<Path>& Array of paths each one containing the sampling points that contributes to a single value of the extracted profile


The operation creates a scan map from a given inScanPath. The scan map can be later used by other 1D Edge Detection filters.

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.

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.


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

See Also