thresholdthresholdThresholdThreshold (Operator)

Name

thresholdthresholdThresholdThreshold — Segment an image using global threshold.

Signature

threshold(Image : Region : MinGray, MaxGray : )

Herror threshold(const Hobject Image, Hobject* Region, double MinGray, double MaxGray)

Herror T_threshold(const Hobject Image, Hobject* Region, const Htuple MinGray, const Htuple MaxGray)

void Threshold(const HObject& Image, HObject* Region, const HTuple& MinGray, const HTuple& MaxGray)

HRegion HImage::Threshold(const HTuple& MinGray, const HTuple& MaxGray) const

HRegion HImage::Threshold(double MinGray, double MaxGray) const

static void HOperatorSet.Threshold(HObject image, out HObject region, HTuple minGray, HTuple maxGray)

HRegion HImage.Threshold(HTuple minGray, HTuple maxGray)

HRegion HImage.Threshold(double minGray, double maxGray)

Description

thresholdthresholdThresholdThresholdThreshold selects the pixels from the input image whose gray values g fulfill the following condition:

All points of an image fulfilling the condition are returned as one region. If more than one gray value interval is passed (tuples for MinGrayMinGrayMinGrayMinGrayminGray and MaxGrayMaxGrayMaxGrayMaxGraymaxGray), one separate region is returned for each interval. For vector field images, the threshold is not applied to gray values but to the lengths of the vectors. The parameters MinGrayMinGrayMinGrayMinGrayminGray and MaxGrayMaxGrayMaxGrayMaxGraymaxGray can be set to 'min'"min""min""min""min" or 'max'"max""max""max""max" in order to leave bottom and top limits, respectively, open.

Attention

For input images of an integer type, floating point values in MinGrayMinGrayMinGrayMinGrayminGray and MaxGrayMaxGrayMaxGrayMaxGraymaxGray are truncated.

Execution Information

Parameters

ImageImageImageImageimage (input_object)  singlechannelimage(-array) objectHImageHImageHobject (byte / direction / cyclic / int1 / int2 / uint2 / int4 / int8 / real / vector_field)

Input image.

RegionRegionRegionRegionregion (output_object)  region(-array) objectHRegionHRegionHobject *

Segmented region.

MinGrayMinGrayMinGrayMinGrayminGray (input_control)  number(-array) HTupleHTupleHtuple (real / integer / string) (double / int / long / string) (double / Hlong / HString) (double / Hlong / char*)

Lower threshold for the gray values or 'min'.

Default value: 128.0

Suggested values: 0.0, 10.0, 30.0, 64.0, 128.0, 200.0, 220.0, 255.0, 'min'"min""min""min""min"

MaxGrayMaxGrayMaxGrayMaxGraymaxGray (input_control)  number(-array) HTupleHTupleHtuple (real / integer / string) (double / int / long / string) (double / Hlong / HString) (double / Hlong / char*)

Upper threshold for the gray values or 'max'.

Default value: 255.0

Suggested values: 0.0, 10.0, 30.0, 64.0, 128.0, 200.0, 220.0, 255.0, 'max'"max""max""max""max"

Restriction: MaxGray >= MinGray

Example (HDevelop)

read_image(Image,'fabrik')
sobel_dir(Image,EdgeAmp,EdgeDir,'sum_abs',3)
threshold(EdgeAmp,Seg,50,255)
skeleton(Seg,Rand)
connection(Rand,Lines)
select_shape(Lines,Edges,'area','and',10,1000000)

Example (C)

read_image(&Image,"fabrik");
sobel_amp(Image,&EdgeAmp,"sum_abs",3);
threshold(EdgeAmp,&Seg,50.0,255.0);
skeleton(Seg,&Rand);
connection(Rand,&Lines);
select_shape(Lines,&Edges,"area","and",10.0,1000000.0);

Example (HDevelop)

read_image(Image,'fabrik')
sobel_dir(Image,EdgeAmp,EdgeDir,'sum_abs',3)
threshold(EdgeAmp,Seg,50,255)
skeleton(Seg,Rand)
connection(Rand,Lines)
select_shape(Lines,Edges,'area','and',10,1000000)

Example (HDevelop)

read_image(Image,'fabrik')
sobel_dir(Image,EdgeAmp,EdgeDir,'sum_abs',3)
threshold(EdgeAmp,Seg,50,255)
skeleton(Seg,Rand)
connection(Rand,Lines)
select_shape(Lines,Edges,'area','and',10,1000000)

Example (HDevelop)

read_image(Image,'fabrik')
sobel_dir(Image,EdgeAmp,EdgeDir,'sum_abs',3)
threshold(EdgeAmp,Seg,50,255)
skeleton(Seg,Rand)
connection(Rand,Lines)
select_shape(Lines,Edges,'area','and',10,1000000)

Complexity

Let A be the area of the input region. Then the runtime complexity is O(A).

Result

thresholdthresholdThresholdThresholdThreshold 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_systemSetSystemSetSystemSetSystem. If necessary, an exception is raised.

Possible Predecessors

histo_to_threshhisto_to_threshHistoToThreshHistoToThreshHistoToThresh, min_max_graymin_max_grayMinMaxGrayMinMaxGrayMinMaxGray, sobel_ampsobel_ampSobelAmpSobelAmpSobelAmp, binomial_filterbinomial_filterBinomialFilterBinomialFilterBinomialFilter, gauss_filtergauss_filterGaussFilterGaussFilterGaussFilter, reduce_domainreduce_domainReduceDomainReduceDomainReduceDomain, fill_interlacefill_interlaceFillInterlaceFillInterlaceFillInterlace

Possible Successors

connectionconnectionConnectionConnectionConnection, dilation1dilation1Dilation1Dilation1Dilation1, erosion1erosion1Erosion1Erosion1Erosion1, openingopeningOpeningOpeningOpening, closingclosingClosingClosingClosing, rank_regionrank_regionRankRegionRankRegionRankRegion, shape_transshape_transShapeTransShapeTransShapeTrans, skeletonskeletonSkeletonSkeletonSkeleton

Alternatives

class_2dim_supclass_2dim_supClass2dimSupClass2dimSupClass2dimSup, hysteresis_thresholdhysteresis_thresholdHysteresisThresholdHysteresisThresholdHysteresisThreshold, dyn_thresholddyn_thresholdDynThresholdDynThresholdDynThreshold, binary_thresholdbinary_thresholdBinaryThresholdBinaryThresholdBinaryThreshold, char_thresholdchar_thresholdCharThresholdCharThresholdCharThreshold, auto_thresholdauto_thresholdAutoThresholdAutoThresholdAutoThreshold, dual_thresholddual_thresholdDualThresholdDualThresholdDualThreshold

See also

zero_crossingzero_crossingZeroCrossingZeroCrossingZeroCrossing, background_segbackground_segBackgroundSegBackgroundSegBackgroundSeg, regiongrowingregiongrowingRegiongrowingRegiongrowingRegiongrowing

Module

Foundation