HALCON Reference Manual 10.0.2
Table of Contents / Segmentation / Classification ClassesClassesClasses | | | Operators

class_2dim_unsupclass_2dim_unsupclass_2dim_unsupClass2dimUnsupClass2dimUnsup (Operator)

Name

class_2dim_unsupclass_2dim_unsupclass_2dim_unsupClass2dimUnsupClass2dimUnsup — Segment two images by clustering.

Signature

class_2dim_unsup(Image1, Image2 : Classes : Threshold, NumClasses : )

Herror class_2dim_unsup(const Hobject Image1, const Hobject Image2, Hobject* Classes, const Hlong Threshold, const Hlong NumClasses)

Herror T_class_2dim_unsup(const Hobject Image1, const Hobject Image2, Hobject* Classes, const Htuple Threshold, const Htuple NumClasses)

Herror class_2dim_unsup(Hobject Image1, Hobject Image2, Hobject* Classes, const HTuple& Threshold, const HTuple& NumClasses)

HRegionArray HImage::Class2dimUnsup(const HImage& Image2, const HTuple& Threshold, const HTuple& NumClasses) const

void HOperatorSetX.Class2dimUnsup(
[in] IHUntypedObjectX* Image1, [in] IHUntypedObjectX* Image2, [out] IHUntypedObjectX** Classes, [in] VARIANT Threshold, [in] VARIANT NumClasses)

IHRegionX* HImageX.Class2dimUnsup(
[in] IHImageX* Image2, [in] Hlong Threshold, [in] Hlong NumClasses)

static void HOperatorSet.Class2dimUnsup(HObject image1, HObject image2, out HObject classes, HTuple threshold, HTuple numClasses)

HRegion HImage.Class2dimUnsup(HImage image2, int threshold, int numClasses)

Description

class_2dim_unsupclass_2dim_unsupclass_2dim_unsupClass2dimUnsupClass2dimUnsup performs a classification with two single-channel images. First, a two-dimensional histogram of the two images is computed (histo_2dimhisto_2dimhisto_2dimHisto2dimHisto2dim). In this histogram, the first maximum is extracted; it serves as the first cluster center. The histogram is computed with the intersection of the domains of both images (see reduce_domainreduce_domainreduce_domainReduceDomainReduceDomain). After this, all pixels in the images that are at most ThresholdThresholdThresholdThresholdthreshold pixels from the cluster center in the maximum norm, are determined. These pixels form one output region. Next, the pixels thus classified are deleted from the histogram so that they are not taken into account for the next class. In this modified histogram, again the maximum is extracted; it again serves as a cluster center. The above steps are repeated NumClassesNumClassesNumClassesNumClassesnumClasses times; thus, NumClassesNumClassesNumClassesNumClassesnumClasses output regions result. Only pixels defined in both images are returned.

Attention

Both input images must have the same size.

Parallelization

Parameters

Image1Image1Image1Image1image1 (input_object)  image → objectHImageHImageHImageXHobject (byte)

First input image.

Image2Image2Image2Image2image2 (input_object)  image → objectHImageHImageHImageXHobject (byte)

Second input image.

ClassesClassesClassesClassesclasses (output_object)  region-array → objectHRegionHRegionArrayHRegionXHobject *

Classification result.

ThresholdThresholdThresholdThresholdthreshold (input_control)  integer → HTupleHTupleVARIANTHtuple (integer) (int / long) (Hlong) (Hlong) (Hlong)

Threshold (maximum distance to the cluster's center).

Default value: 15

Suggested values: 0, 2, 5, 8, 12, 17, 20, 30, 50, 70

NumClassesNumClassesNumClassesNumClassesnumClasses (input_control)  integer → HTupleHTupleVARIANTHtuple (integer) (int / long) (Hlong) (Hlong) (Hlong)

Number of classes (cluster centers).

Default value: 5

Suggested values: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 15, 20, 30, 40, 50

Example (C++)

#include "HIOStream.h"
#if !defined(USE_IOSTREAM_H)
using namespace std;
#endif
#include "HalconCpp.h"
using namespace Halcon;

int main (int argc, char *argv[])
{
  if (argc != 2)
  {
    cout << "Usage : " << argv[0] << " 'image' " << endl;
    return (-1);
  }

  HImage   colimg (argv[1]),
           green, blue;

  HWindow  w;
  long     nc;

  if ((nc = colimg.CountChannels ()) != 3)
  {
    cout << argv[1] << " is not a rgb-image " << endl;
    return (-2);
  }

  colimg.Display (w);

  HImage        red = colimg.Decompose3 (&green, &blue);
  HRegionArray  seg = red.Class2dimUnsup (green, 15, 5);

  w.SetDraw ("margin");
  w.SetColored (12);
  seg.Display (w);
  w.Click ();

  return (0);
}

Example (C)

read_image(&ColorImage,"patras");
decompose3(ColorImage,&Red,&Green,&Blue);
class_2dim_unsup(Red,Green,&Seg,15,5);
set_colored(WindowHandle,12);
disp_region(Seg,WindowHandle);

Example (C++)

#include "HIOStream.h"
#if !defined(USE_IOSTREAM_H)
using namespace std;
#endif
#include "HalconCpp.h"
using namespace Halcon;

int main (int argc, char *argv[])
{
  if (argc != 2)
  {
    cout << "Usage : " << argv[0] << " 'image' " << endl;
    return (-1);
  }

  HImage   colimg (argv[1]),
           green, blue;

  HWindow  w;
  long     nc;

  if ((nc = colimg.CountChannels ()) != 3)
  {
    cout << argv[1] << " is not a rgb-image " << endl;
    return (-2);
  }

  colimg.Display (w);

  HImage        red = colimg.Decompose3 (&green, &blue);
  HRegionArray  seg = red.Class2dimUnsup (green, 15, 5);

  w.SetDraw ("margin");
  w.SetColored (12);
  seg.Display (w);
  w.Click ();

  return (0);
}

Example (C++)

#include "HIOStream.h"
#if !defined(USE_IOSTREAM_H)
using namespace std;
#endif
#include "HalconCpp.h"
using namespace Halcon;

int main (int argc, char *argv[])
{
  if (argc != 2)
  {
    cout << "Usage : " << argv[0] << " 'image' " << endl;
    return (-1);
  }

  HImage   colimg (argv[1]),
           green, blue;

  HWindow  w;
  long     nc;

  if ((nc = colimg.CountChannels ()) != 3)
  {
    cout << argv[1] << " is not a rgb-image " << endl;
    return (-2);
  }

  colimg.Display (w);

  HImage        red = colimg.Decompose3 (&green, &blue);
  HRegionArray  seg = red.Class2dimUnsup (green, 15, 5);

  w.SetDraw ("margin");
  w.SetColored (12);
  seg.Display (w);
  w.Click ();

  return (0);
}

Example (C++)

#include "HIOStream.h"
#if !defined(USE_IOSTREAM_H)
using namespace std;
#endif
#include "HalconCpp.h"
using namespace Halcon;

int main (int argc, char *argv[])
{
  if (argc != 2)
  {
    cout << "Usage : " << argv[0] << " 'image' " << endl;
    return (-1);
  }

  HImage   colimg (argv[1]),
           green, blue;

  HWindow  w;
  long     nc;

  if ((nc = colimg.CountChannels ()) != 3)
  {
    cout << argv[1] << " is not a rgb-image " << endl;
    return (-2);
  }

  colimg.Display (w);

  HImage        red = colimg.Decompose3 (&green, &blue);
  HRegionArray  seg = red.Class2dimUnsup (green, 15, 5);

  w.SetDraw ("margin");
  w.SetColored (12);
  seg.Display (w);
  w.Click ();

  return (0);
}

Result

class_2dim_unsupclass_2dim_unsupclass_2dim_unsupClass2dimUnsupClass2dimUnsup returns 2 (H_MSG_TRUE) if all parameters are correct. The behavior with respect to the input images and output regions can be determined by setting the values of the flags 'no_object_result'"no_object_result""no_object_result""no_object_result""no_object_result", 'empty_region_result'"empty_region_result""empty_region_result""empty_region_result""empty_region_result", and 'store_empty_region'"store_empty_region""store_empty_region""store_empty_region""store_empty_region" with set_systemset_systemset_systemSetSystemSetSystem. If necessary, an exception is raised.

Possible Predecessors

decompose2decompose2decompose2Decompose2Decompose2, decompose3decompose3decompose3Decompose3Decompose3, median_imagemedian_imagemedian_imageMedianImageMedianImage, anisotropic_diffusionanisotropic_diffusionanisotropic_diffusionAnisotropicDiffusionAnisotropicDiffusion, reduce_domainreduce_domainreduce_domainReduceDomainReduceDomain

Possible Successors

select_shapeselect_shapeselect_shapeSelectShapeSelectShape, select_grayselect_grayselect_graySelectGraySelectGray, connectionconnectionconnectionConnectionConnection

Alternatives

thresholdthresholdthresholdThresholdThreshold, histo_2dimhisto_2dimhisto_2dimHisto2dimHisto2dim, class_2dim_supclass_2dim_supclass_2dim_supClass2dimSupClass2dimSup, class_ndim_normclass_ndim_normclass_ndim_normClassNdimNormClassNdimNorm, class_ndim_boxclass_ndim_boxclass_ndim_boxClassNdimBoxClassNdimBox

Module

Foundation

Table of Contents / Segmentation / Classification ClassesClassesClasses | | | Operators
HALCON Reference Manual 10.0.2 Copyright © 1996-2011 MVTec Software GmbH