ClassesClasses | | Operators

gray_histo_absT_gray_histo_absGrayHistoAbsGrayHistoAbs (Operator)

Name

gray_histo_absT_gray_histo_absGrayHistoAbsGrayHistoAbs — Calculate the gray value distribution.

Signature

gray_histo_abs(Regions, Image : : Quantization : AbsoluteHisto)

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

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

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

HTuple HImage::GrayHistoAbs(const HRegion& Regions, 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 regions, HObject image, HTuple quantization, out HTuple absoluteHisto)

HTuple HImage.GrayHistoAbs(HRegion regions, HTuple quantization)

HTuple HImage.GrayHistoAbs(HRegion regions, double quantization)

HTuple HRegion.GrayHistoAbs(HImage image, HTuple quantization)

HTuple HRegion.GrayHistoAbs(HImage image, double quantization)

Description

The operator gray_histo_absgray_histo_absGrayHistoAbsGrayHistoAbsGrayHistoAbs calculates for the image (ImageImageImageImageimage) within RegionsRegionsRegionsRegionsregions the absolute (AbsoluteHistoAbsoluteHistoAbsoluteHistoAbsoluteHistoabsoluteHisto) ) 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 AbsoluteHistoAbsoluteHistoAbsoluteHistoAbsoluteHistoabsoluteHisto 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 quantisation q as follows:

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 quantisation, 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.

The histogram can also be returned directly as a graphic via the operators set_paint(::WindowHandle,'histogram':)set_paint(WindowHandle,"histogram")SetPaint(WindowHandle,"histogram")SetPaint(WindowHandle,"histogram")SetPaint(WindowHandle,"histogram") and disp_imagedisp_imageDispImageDispImageDispImage.

Attention

Note that the operator gray_histo_absgray_histo_absGrayHistoAbsGrayHistoAbsGrayHistoAbs only considers the given RegionsRegionsRegionsRegionsregions and ignores any previously set domain of the input image ImageImageImageImageimage.

Execution Information

Parameters

RegionsRegionsRegionsRegionsregions (input_object)  region(-array) objectHRegionHRegionHobject

Region in which the histogram is to be calculated.

ImageImageImageImageimage (input_object)  singlechannelimage objectHImageHImageHobject (byte / cyclic / direction / int1 / int2 / uint2)

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

QuantizationQuantizationQuantizationQuantizationquantization (input_control)  number HTupleHTupleHtuple (real / integer) (double / int / long) (double / Hlong) (double / Hlong)

Quantization of the gray values.

Default value: 1.0

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

Restriction: Quantization >= 1.0

AbsoluteHistoAbsoluteHistoAbsoluteHistoAbsoluteHistoabsoluteHisto (output_control)  histogram-array HTupleHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Absolute frequencies of the gray values.

Result

The operator gray_histo_absgray_histo_absGrayHistoAbsGrayHistoAbsGrayHistoAbs 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>)SetSystem("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>)SetSystem("empty_region_result",<Result>). If necessary an exception is raised.

Possible Successors

histo_to_threshhisto_to_threshHistoToThreshHistoToThreshHistoToThresh, gen_region_histogen_region_histoGenRegionHistoGenRegionHistoGenRegionHisto

Alternatives

min_max_graymin_max_grayMinMaxGrayMinMaxGrayMinMaxGray, intensityintensityIntensityIntensityIntensity, gray_histogray_histoGrayHistoGrayHistoGrayHisto, gray_histo_rangegray_histo_rangeGrayHistoRangeGrayHistoRangeGrayHistoRange

See also

set_paintset_paintSetPaintSetPaintSetPaint, disp_imagedisp_imageDispImageDispImageDispImage, histo_2dimhisto_2dimHisto2dimHisto2dimHisto2dim, scale_image_maxscale_image_maxScaleImageMaxScaleImageMaxScaleImageMax, entropy_grayentropy_grayEntropyGrayEntropyGrayEntropyGray

Module

Foundation


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