min_max_graymin_max_grayMinMaxGrayMinMaxGraymin_max_gray (Operator)

min_max_gray(Regions, Image : : Percent : Min, Max, Range)

Herror min_max_gray(const Hobject Regions, const Hobject Image, double Percent, double* Min, double* Max, double* Range)

Herror T_min_max_gray(const Hobject Regions, const Hobject Image, const Htuple Percent, Htuple* Min, Htuple* Max, Htuple* Range)

void MinMaxGray(const HObject& Regions, const HObject& Image, const HTuple& Percent, HTuple* Min, HTuple* Max, HTuple* Range)

void HImage::MinMaxGray(const HRegion& Regions, const HTuple& Percent, HTuple* Min, HTuple* Max, HTuple* Range) const

void HImage::MinMaxGray(const HRegion& Regions, double Percent, double* Min, double* Max, double* Range) const

void HRegion::MinMaxGray(const HImage& Image, const HTuple& Percent, HTuple* Min, HTuple* Max, HTuple* Range) const

void HRegion::MinMaxGray(const HImage& Image, double Percent, double* Min, double* Max, double* Range) const

static void HOperatorSet.MinMaxGray(HObject regions, HObject image, HTuple percent, out HTuple min, out HTuple max, out HTuple range)

void HImage.MinMaxGray(HRegion regions, HTuple percent, out HTuple min, out HTuple max, out HTuple range)

void HImage.MinMaxGray(HRegion regions, double percent, out double min, out double max, out double range)

void HRegion.MinMaxGray(HImage image, HTuple percent, out HTuple min, out HTuple max, out HTuple range)

void HRegion.MinMaxGray(HImage image, double percent, out double min, out double max, out double range)

def min_max_gray(regions: HObject, image: HObject, percent: Union[int, float]) -> Tuple[Sequence[float], Sequence[float], Sequence[float]]

def min_max_gray_s(regions: HObject, image: HObject, percent: Union[int, float]) -> Tuple[float, float, float]

Beispiel (HDevelop)

* Threshold segmentation with training region:
read_image(Image,'fabrik')
draw_region(Region,WindowHandle)
min_max_gray(Region,Image,5,Min,Max,Range)
threshold(Image,SegmentedRegion,Min,Max)
dev_display(SegmentedRegion)

Beispiel (C)

/* Threshold segmentation with training region: */
read_image(&Image,"fabrik");
draw_region(&Region,WindowHandle);
min_max_gray(Region,Image,5.0,&Min,&Max,NULL);
threshold(Image,&SegmentedRegion,Min,Max);
disp_region(SegmentedRegion,WindowHandle);

Beispiel (C++)

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

main()
{
  HImage   img ("fabrik");
  HWindow  w;

  Htuple   range, max;

  img.Display (w);
  w.Click ();

  HRegion   reg = w.DrawRegion ();
  HImage    rdd = img.ReduceDomain (reg);

  Htuple min = reg.MinMaxGray (rdd, 5, &max, &range);

  HRegionArray imgseg = ((img >= min[0].I()).Connection() &
                         (img <= max[0].I()).Connection());

  cout << "Min = " << min[0].I() << endl;
  cout << "Max = " << max[0].I() << endl;

  imgseg.Display (w);
  w.Click ();
  return(0);
}

Beispiel (HDevelop)

* Threshold segmentation with training region:
read_image(Image,'fabrik')
draw_region(Region,WindowHandle)
min_max_gray(Region,Image,5,Min,Max,Range)
threshold(Image,SegmentedRegion,Min,Max)
dev_display(SegmentedRegion)

Beispiel (HDevelop)

* Threshold segmentation with training region:
read_image(Image,'fabrik')
draw_region(Region,WindowHandle)
min_max_gray(Region,Image,5,Min,Max,Range)
threshold(Image,SegmentedRegion,Min,Max)
dev_display(SegmentedRegion)