Operator Reference

HALCON Operator Reference / Image / Features

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gray_histo_absT_gray_histo_absGrayHistoAbsGrayHistoAbsgray_histo_abs (Operator)

gray_histo_absT_gray_histo_absGrayHistoAbsGrayHistoAbsgray_histo_abs — Calculate the gray value distribution.

Signature

gray_histo_abs(Region, Image : : Quantization : AbsoluteHisto)

Herror T_gray_histo_abs(const Hobject Region, const Hobject Image, const Htuple Quantization, Htuple* AbsoluteHisto)

void GrayHistoAbs(const HObject& Region, const HObject& Image, const HTuple& Quantization, HTuple* AbsoluteHisto)

HTuple HImage::GrayHistoAbs(const HRegion& Region, const HTuple& Quantization) const

HTuple HImage::GrayHistoAbs(const HRegion& Region, double Quantization) const

HTuple HRegion::GrayHistoAbs(const HImage& Image, const HTuple& Quantization) const

HTuple HRegion::GrayHistoAbs(const HImage& Image, double Quantization) const

static void HOperatorSet.GrayHistoAbs(HObject region, HObject image, HTuple quantization, out HTuple absoluteHisto)

HTuple HImage.GrayHistoAbs(HRegion region, HTuple quantization)

HTuple HImage.GrayHistoAbs(HRegion region, double quantization)

HTuple HRegion.GrayHistoAbs(HImage image, HTuple quantization)

HTuple HRegion.GrayHistoAbs(HImage image, double quantization)

def gray_histo_abs(region: HObject, image: HObject, quantization: Union[int, float]) -> Sequence[int]

Description

The operator gray_histo_absgray_histo_absGrayHistoAbsGrayHistoAbsgray_histo_abs calculates for the image (ImageImageImageimageimage) within RegionRegionRegionregionregion the absolute (AbsoluteHistoAbsoluteHistoAbsoluteHistoabsoluteHistoabsolute_histo) ) histogram of the gray values.

The parameter QuantizationQuantizationQuantizationquantizationquantization defines, how many frequencies of neighbored gray values are added for one frequency value. The resulting histogram AbsoluteHistoAbsoluteHistoAbsoluteHistoabsoluteHistoabsolute_histo is a tuple, whose indices are mapped on the gray values of the input image ImageImageImageimageimage and whose elements contain the frequencies of the gray values. The indices i of the frequency value are calculated from the gray values g and the quantization q as follows:

• For unsigned image types:

• For signed image types:

whereas MIN denotes the minimal gray value, e.g., -128 for an int1 image type. Therefore, the size of the tuple results from the ratio of the full domain of gray values and the quantization, e.g., for images of int2 in . The origin gray value of the signed image types int1 resp. int2 is mapped on the index 128 resp. 32768, negative resp. positive gray values have smaller resp. greater indices.

Attention

Note that the operator gray_histo_absgray_histo_absGrayHistoAbsGrayHistoAbsgray_histo_abs only considers the given RegionRegionRegionregionregion and ignores any previously set domain of the input image ImageImageImageimageimage.

Execution Information

• Multithreading type: reentrant (runs in parallel with non-exclusive operators).
• Multithreading scope: global (may be called from any thread).
• Automatically parallelized on internal data level.

Parameters

RegionRegionRegionregionregion (input_object)  region → objectHRegionHObjectHObjectHobject

Region in which the histogram is to be calculated.

ImageImageImageimageimage (input_object)  singlechannelimage → objectHImageHObjectHObjectHobject (byte / cyclic / direction / int1 / int2 / uint2)

Image the gray value distribution of which is to be calculated.

QuantizationQuantizationQuantizationquantizationquantization (input_control)  number → HTupleUnion[int, float]HTupleHtuple (real / integer) (double / int / long) (double / Hlong) (double / Hlong)

Quantization of the gray values.

Default: 1.0

Suggested values: 1.0, 2.0, 3.0, 5.0, 10.0

Restriction: Quantization >= 1.0

AbsoluteHistoAbsoluteHistoAbsoluteHistoabsoluteHistoabsolute_histo (output_control)  histogram-array → HTupleSequence[int]HTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Absolute frequencies of the gray values.

Result

The operator gray_histo_absgray_histo_absGrayHistoAbsGrayHistoAbsgray_histo_abs returns the value 2 ( H_MSG_TRUE) if the image has defined gray values and the parameters are correct. The behavior in case of empty input (no input images available) is set via the operator set_system(::'no_object_result',<Result>:)set_system("no_object_result",<Result>)SetSystem("no_object_result",<Result>)SetSystem("no_object_result",<Result>)set_system("no_object_result",<Result>), the behavior in case of empty region is set via set_system(::'empty_region_result',<Result>:)set_system("empty_region_result",<Result>)SetSystem("empty_region_result",<Result>)SetSystem("empty_region_result",<Result>)set_system("empty_region_result",<Result>). If necessary an exception is raised.

Possible Successors

histo_to_threshhisto_to_threshHistoToThreshHistoToThreshhisto_to_thresh, gen_region_histogen_region_histoGenRegionHistoGenRegionHistogen_region_histo

Alternatives

min_max_graymin_max_grayMinMaxGrayMinMaxGraymin_max_gray, intensityintensityIntensityIntensityintensity, gray_histogray_histoGrayHistoGrayHistogray_histo, gray_histo_rangegray_histo_rangeGrayHistoRangeGrayHistoRangegray_histo_range

See also

disp_imagedisp_imageDispImageDispImagedisp_image, histo_2dimhisto_2dimHisto2dimHisto2dimhisto_2dim, scale_image_maxscale_image_maxScaleImageMaxScaleImageMaxscale_image_max, entropy_grayentropy_grayEntropyGrayEntropyGrayentropy_gray

Module

Foundation

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