Name
dilation_circledilation_circleDilationCircleDilationCircle — Dilate a region with a circular structuring element.
dilation_circledilation_circleDilationCircleDilationCircleDilationCircle applies a Minkowski addition with a
circular structuring element to the input regions RegionRegionRegionRegionregion.
Because the circular mask is symmetrical, this is identical to a
dilation. The size of the circle used as structuring element is
determined by RadiusRadiusRadiusRadiusradius.
The operator results in enlarged regions, smoothed
region boundaries, and the holes smaller than the
circular mask in the interior of the region are closed. It is useful to select
only values like 3.5, 5.5, etc. for RadiusRadiusRadiusRadiusradius in order
to avoid a translation of a region, because integer radii result in
the circle having a non-integer center of gravity which is rounded
to the next integer.
dilation_circledilation_circleDilationCircleDilationCircleDilationCircle is applied to each input region
separately. If gaps between different regions are to be closed,
union1union1Union1Union1Union1 or union2union2Union2Union2Union2 has to be called first.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Automatically parallelized on tuple level.
Radius of the circular structuring element.
Default value: 3.5
Suggested values: 1.5, 2.5, 3.5, 4.5, 5.5, 7.5, 9.5, 12.5, 15.5, 19.5, 25.5, 33.5, 45.5, 60.5, 110.5
Typical range of values: 0.5
≤
Radius
Radius
Radius
Radius
radius
≤
511.5 (lin)
Minimum increment: 1.0
Recommended increment: 1.0
#include "HIOStream.h"
#if !defined(USE_IOSTREAM_H)
using namespace std;
#endif
#include "HalconCpp.h"
main()
{
cout << "Reproduction of 'dilation_circle ()'" << endl;
cout << "First = original image " << endl;
cout << "Blue = after dilation " << endl;
cout << "Red = before dilation " << endl;
HByteImage img("monkey");
HWindow w;
HRegion circ = HRegion::GenCircle (10, 10, 1.5);
HRegionArray regs = (img >= 128).Connection();
HRegionArray minadd = regs.MinkowskiAdd1 (circ, 1);
img.Display (w); w.Click ();
w.SetColor ("blue"); minadd.Display (w); w.Click ();
w.SetColor ("red"); regs.Display (w); w.Click ();
return(0);
}
my_dilation_circle(Hobject In, double Radius, Hobject *Out)
{
Hobject Circle;
gen_circle(&Circle,100.0,100.0,Radius);
minkowski_add1(In,Circle,Out,1);
}
#include "HIOStream.h"
#if !defined(USE_IOSTREAM_H)
using namespace std;
#endif
#include "HalconCpp.h"
main()
{
cout << "Reproduction of 'dilation_circle ()'" << endl;
cout << "First = original image " << endl;
cout << "Blue = after dilation " << endl;
cout << "Red = before dilation " << endl;
HByteImage img("monkey");
HWindow w;
HRegion circ = HRegion::GenCircle (10, 10, 1.5);
HRegionArray regs = (img >= 128).Connection();
HRegionArray minadd = regs.MinkowskiAdd1 (circ, 1);
img.Display (w); w.Click ();
w.SetColor ("blue"); minadd.Display (w); w.Click ();
w.SetColor ("red"); regs.Display (w); w.Click ();
return(0);
}
#include "HIOStream.h"
#if !defined(USE_IOSTREAM_H)
using namespace std;
#endif
#include "HalconCpp.h"
main()
{
cout << "Reproduction of 'dilation_circle ()'" << endl;
cout << "First = original image " << endl;
cout << "Blue = after dilation " << endl;
cout << "Red = before dilation " << endl;
HByteImage img("monkey");
HWindow w;
HRegion circ = HRegion::GenCircle (10, 10, 1.5);
HRegionArray regs = (img >= 128).Connection();
HRegionArray minadd = regs.MinkowskiAdd1 (circ, 1);
img.Display (w); w.Click ();
w.SetColor ("blue"); minadd.Display (w); w.Click ();
w.SetColor ("red"); regs.Display (w); w.Click ();
return(0);
}
#include "HIOStream.h"
#if !defined(USE_IOSTREAM_H)
using namespace std;
#endif
#include "HalconCpp.h"
main()
{
cout << "Reproduction of 'dilation_circle ()'" << endl;
cout << "First = original image " << endl;
cout << "Blue = after dilation " << endl;
cout << "Red = before dilation " << endl;
HByteImage img("monkey");
HWindow w;
HRegion circ = HRegion::GenCircle (10, 10, 1.5);
HRegionArray regs = (img >= 128).Connection();
HRegionArray minadd = regs.MinkowskiAdd1 (circ, 1);
img.Display (w); w.Click ();
w.SetColor ("blue"); minadd.Display (w); w.Click ();
w.SetColor ("red"); regs.Display (w); w.Click ();
return(0);
}
Let F1 be the area of an input region. Then the runtime complexity for one
region is:
dilation_circledilation_circleDilationCircleDilationCircleDilationCircle returns 2 (H_MSG_TRUE) if all parameters are
correct. The behavior in case of empty or no input region can be
set via:
-
no region:
set_system('no_object_result',<RegionResult>)
-
empty region:
set_system('empty_region_result',<RegionResult>)
Otherwise, an exception is raised.
thresholdthresholdThresholdThresholdThreshold,
regiongrowingregiongrowingRegiongrowingRegiongrowingRegiongrowing,
connectionconnectionConnectionConnectionConnection,
union1union1Union1Union1Union1,
watershedswatershedsWatershedsWatershedsWatersheds,
class_ndim_normclass_ndim_normClassNdimNormClassNdimNormClassNdimNorm
reduce_domainreduce_domainReduceDomainReduceDomainReduceDomain,
select_shapeselect_shapeSelectShapeSelectShapeSelectShape,
area_centerarea_centerAreaCenterAreaCenterAreaCenter,
connectionconnectionConnectionConnectionConnection
minkowski_add1minkowski_add1MinkowskiAdd1MinkowskiAdd1MinkowskiAdd1,
minkowski_add2minkowski_add2MinkowskiAdd2MinkowskiAdd2MinkowskiAdd2,
expand_regionexpand_regionExpandRegionExpandRegionExpandRegion,
dilation1dilation1Dilation1Dilation1Dilation1,
dilation2dilation2Dilation2Dilation2Dilation2,
dilation_rectangle1dilation_rectangle1DilationRectangle1DilationRectangle1DilationRectangle1
gen_circlegen_circleGenCircleGenCircleGenCircle,
erosion_circleerosion_circleErosionCircleErosionCircleErosionCircle,
closing_circleclosing_circleClosingCircleClosingCircleClosingCircle,
opening_circleopening_circleOpeningCircleOpeningCircleOpeningCircle
Foundation