HALCON Reference Manual 10.0.2
Name
zero_crossing_sub_pixzero_crossing_sub_pixzero_crossing_sub_pixZeroCrossingSubPixZeroCrossingSubPix — Extract zero crossings from an image with subpixel accuracy.
zero_crossing_sub_pixzero_crossing_sub_pixzero_crossing_sub_pixZeroCrossingSubPixZeroCrossingSubPix extracts the zero crossings of the
input image ImageImageImageImageimage with subpixel accuracy. The extracted
zero crossings are returned as XLD-contours in
ZeroCrossingsZeroCrossingsZeroCrossingsZeroCrossingszeroCrossings. Thus, zero_crossing_sub_pixzero_crossing_sub_pixzero_crossing_sub_pixZeroCrossingSubPixZeroCrossingSubPix can be
used as a sub-pixel precise edge extractor if the input image is a
Laplace-filtered image (see laplacelaplacelaplaceLaplaceLaplace,
laplace_of_gausslaplace_of_gausslaplace_of_gaussLaplaceOfGaussLaplaceOfGauss, derivate_gaussderivate_gaussderivate_gaussDerivateGaussDerivateGauss).
For the extraction, the input image is regarded as a surface, in
which the gray values are interpolated bilinearly between the
centers of the individual pixels. Consistent with the surface thus
defined, zero crossing lines are extracted for each pixel and linked
into topologically sound contours. This means that the zero
crossing contours are correctly split at junction points. If the
image contains extended areas of constant gray value 0, only the
border of such areas is returned as zero crossings.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
Extracted zero crossings.
* Detection zero crossings of the Laplacian-of-Gaussian
* of an aerial image
read_image(Image,'mreut')
derivate_gauss(Image,Laplace,3,'laplace')
zero_crossing_sub_pix(Laplace,ZeroCrossings)
disp_xld(ZeroCrossings,WindowHandle)
* Detection of edges, i.e, zero crossings of the Laplacian-of-Gaussian
* that have a large gradient magnitude, in an aerial image
read_image(Image,'mreut')
Sigma := 1.5
* Compensate the threshold for the fact that derivate_gauss(...,'gradient')
* calculates a Gaussian-smoothed gradient, in which the edge amplitudes
* are too small because of the Gaussian smoothing, to correspond to a true
* edge amplitude of 20.
Threshold := 20/(Sigma*sqrt(2*3.1415926))
derivate_gauss(Image,Gradient,Sigma,'gradient')
threshold(Gradient,Region,Threshold,255)
reduce_domain(Image,Region,ImageReduced)
derivate_gauss(ImageReduced,Laplace,Sigma,'laplace')
zero_crossing_sub_pix(Laplace,Edges)
disp_xld(Edges,WindowHandle)
/* Detection zero crossings of the Laplacian-of-Gaussian of aerial image */
read_image(&Image,"mreut");
derivate_gauss(Image,&Laplace,3,"laplace");
zero_crossing_sub_pix(Laplace,&ZeroCrossings);
disp_xld(ZeroCrossings,WindowHandle);
/* Detection of edges, i.e, zero crossings of the Laplacian-of-Gaussian
that have a large gradient magnitude, in an aerial image */
read_image(&Image,"mreut");
Sigma = 1.5;
/* Compensate the threshold for the fact that derivate_gauss(...,'gradient')
calculates a Gaussian-smoothed gradient, in which the edge amplitudes
are too small because of the Gaussian smoothing, to correspond to a true
edge amplitude of 20. */
Threshold = 20/(Sigma*sqrt(2*PI));
derivate_gauss(Image,&Gradient,Sigma,"gradient");
threshold(Gradient,&Region,Threshold,255);
reduce_domain(Image,Region,&ImageReduced);
derivate_gauss(ImageReduced,&Laplace,Sigma,"laplace");
zero_crossing_sub_pix(Laplace,&Edges);
disp_xld(Edges,WindowHandle);
/* Detection zero crossings of the Laplacian-of-Gaussian of aerial image */
HWindow Window(0,0,512,512);
HImage Image("mreut");
HImage Laplace = Image.DerivateGauss(3,"laplace");
HXLDContArray ZeroCrossings = Laplace.ZeroCrossingsSubPix();
ZeroCrossings.Display(Window);
/* Detection of edges, i.e, zero crossings of the Laplacian-of-Gaussian
that have a large gradient magnitude, in an aerial image */
HWindow Window(0,0,512,512);
HImage Image("mreut");
Sigma = 1.5;
/* Compensate the threshold for the fact that derivate_gauss(...,'gradient')
calculates a Gaussian-smoothed gradient, in which the edge amplitudes
are too small because of the Gaussian smoothing, to correspond to a true
edge amplitude of 20. */
Threshold = 20/(Sigma*sqrt(2*PI));
HImage Gradient = Image.DerivateGauss(Sigma,"gradient");
HRegion Region = Gradient.Threshold(Threshold,255);
HImage ImageReduced = Image.ReduceDomain(Region);
HImage Laplace = ImageReduced.DerivateGauss(Sigma,"laplace");
HXLDContArray Edges = Laplace.ZeroCrossingSubPix();
Edges.Display(Window);
* Detection zero crossings of the Laplacian-of-Gaussian
* of an aerial image
read_image(Image,'mreut')
derivate_gauss(Image,Laplace,3,'laplace')
zero_crossing_sub_pix(Laplace,ZeroCrossings)
disp_xld(ZeroCrossings,WindowHandle)
* Detection of edges, i.e, zero crossings of the Laplacian-of-Gaussian
* that have a large gradient magnitude, in an aerial image
read_image(Image,'mreut')
Sigma := 1.5
* Compensate the threshold for the fact that derivate_gauss(...,'gradient')
* calculates a Gaussian-smoothed gradient, in which the edge amplitudes
* are too small because of the Gaussian smoothing, to correspond to a true
* edge amplitude of 20.
Threshold := 20/(Sigma*sqrt(2*3.1415926))
derivate_gauss(Image,Gradient,Sigma,'gradient')
threshold(Gradient,Region,Threshold,255)
reduce_domain(Image,Region,ImageReduced)
derivate_gauss(ImageReduced,Laplace,Sigma,'laplace')
zero_crossing_sub_pix(Laplace,Edges)
disp_xld(Edges,WindowHandle)
* Detection zero crossings of the Laplacian-of-Gaussian
* of an aerial image
read_image(Image,'mreut')
derivate_gauss(Image,Laplace,3,'laplace')
zero_crossing_sub_pix(Laplace,ZeroCrossings)
disp_xld(ZeroCrossings,WindowHandle)
* Detection of edges, i.e, zero crossings of the Laplacian-of-Gaussian
* that have a large gradient magnitude, in an aerial image
read_image(Image,'mreut')
Sigma := 1.5
* Compensate the threshold for the fact that derivate_gauss(...,'gradient')
* calculates a Gaussian-smoothed gradient, in which the edge amplitudes
* are too small because of the Gaussian smoothing, to correspond to a true
* edge amplitude of 20.
Threshold := 20/(Sigma*sqrt(2*3.1415926))
derivate_gauss(Image,Gradient,Sigma,'gradient')
threshold(Gradient,Region,Threshold,255)
reduce_domain(Image,Region,ImageReduced)
derivate_gauss(ImageReduced,Laplace,Sigma,'laplace')
zero_crossing_sub_pix(Laplace,Edges)
disp_xld(Edges,WindowHandle)
zero_crossing_sub_pixzero_crossing_sub_pixzero_crossing_sub_pixZeroCrossingSubPixZeroCrossingSubPix usually returns the value 2 (H_MSG_TRUE). If
necessary, an exception is raised.
laplacelaplacelaplaceLaplaceLaplace,
laplace_of_gausslaplace_of_gausslaplace_of_gaussLaplaceOfGaussLaplaceOfGauss,
diff_of_gaussdiff_of_gaussdiff_of_gaussDiffOfGaussDiffOfGauss,
derivate_gaussderivate_gaussderivate_gaussDerivateGaussDerivateGauss
zero_crossingzero_crossingzero_crossingZeroCrossingZeroCrossing
threshold_sub_pixthreshold_sub_pixthreshold_sub_pixThresholdSubPixThresholdSubPix
2D Metrology
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