expand_domain_grayexpand_domain_grayExpandDomainGrayExpandDomainGrayexpand_domain_gray (Operator)

Name

expand_domain_grayexpand_domain_grayExpandDomainGrayExpandDomainGrayexpand_domain_gray — Expand the domain of an image and set the gray values in the expanded domain.

Signature

expand_domain_gray(InputImage : ExpandedImage : ExpansionRange : )

Herror expand_domain_gray(const Hobject InputImage, Hobject* ExpandedImage, const Hlong ExpansionRange)

Herror T_expand_domain_gray(const Hobject InputImage, Hobject* ExpandedImage, const Htuple ExpansionRange)

void ExpandDomainGray(const HObject& InputImage, HObject* ExpandedImage, const HTuple& ExpansionRange)

HImage HImage::ExpandDomainGray(Hlong ExpansionRange) const

static void HOperatorSet.ExpandDomainGray(HObject inputImage, out HObject expandedImage, HTuple expansionRange)

HImage HImage.ExpandDomainGray(int expansionRange)

def expand_domain_gray(input_image: HObject, expansion_range: int) -> HObject

Description

expand_domain_grayexpand_domain_grayExpandDomainGrayExpandDomainGrayExpandDomainGrayexpand_domain_gray expands the border gray values of the domain outwards. The width of the expansion is set by the parameter ExpansionRangeExpansionRangeExpansionRangeExpansionRangeexpansionRangeexpansion_range. All filters in HALCON use gray values of the pixels outside the domain depending on the filter width. This may lead to undesirable side effects especially in the border region of the domain. For example, if the foreground (domain) and the background of the image differ strongly in brightness, the result of a filter operation may lead to undesired darkening or brightening at the border of the domain. In order to avoid this drawback, the domain is expanded by expand_domain_grayexpand_domain_grayExpandDomainGrayExpandDomainGrayExpandDomainGrayexpand_domain_gray in a preliminary stage, copying the gray values of the border pixels to the outside of the domain. In addition, the domain itself is also expanded to reflect the newly set pixels. Therefore, in many cases it is reasonable to reduce the domain again (reduce_domainreduce_domainReduceDomainReduceDomainReduceDomainreduce_domain or change_domainchange_domainChangeDomainChangeDomainChangeDomainchange_domain) after using expand_domain_grayexpand_domain_grayExpandDomainGrayExpandDomainGrayExpandDomainGrayexpand_domain_gray and call the filter operation afterwards. ExpansionRangeExpansionRangeExpansionRangeExpansionRangeexpansionRangeexpansion_range should be set to a value high enough to make sure the whole region including its dilatation through the filter mask has initialized values. Usually this leads to ExpansionRangeExpansionRangeExpansionRangeExpansionRangeexpansionRangeexpansion_range values of half the filter length or greater. In combination with the filter mean_imagemean_imageMeanImageMeanImageMeanImagemean_image on images of type real we recommend to determine the value for ExpansionRangeExpansionRangeExpansionRangeExpansionRangeexpansionRangeexpansion_range as shown in the example below. For speed reasons this filter uses the values from pixels within the smallest rectangle around the dilated region.

Attention

Note that filter operators may return unexpected results if an image with a reduced domain is used as input. Please refer to the chapter Filters.

Execution Information

Parameters

InputImageInputImageInputImageInputImageinputImageinput_image (input_object)  (multichannel-)image(-array) objectHImageHObjectHImageHobject (byte / int1 / int2 / uint2 / int4 / real)

Input image with domain to be expanded.

ExpandedImageExpandedImageExpandedImageExpandedImageexpandedImageexpanded_image (output_object)  image(-array) objectHImageHObjectHImageHobject * (byte / int1 / int2 / uint2 / int4 / real)

Output image with new gray values in the expanded domain.

ExpansionRangeExpansionRangeExpansionRangeExpansionRangeexpansionRangeexpansion_range (input_control)  integer HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Radius of the gray value expansion, measured in pixels.

Default value: 2

Suggested values: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 14, 16

Restriction: ExpansionRange >= 1

Example (HDevelop)

read_image(Fabrik, 'fabrik')
gen_rectangle2(Rectangle_Label,243,320,-1.55,62,28)
reduce_domain(Fabrik, Rectangle_Label, Fabrik_Label)
* Character extraction without gray value expansion:
MaskSize := 31
mean_image(Fabrik_Label,Label_Mean_normal,MaskSize, MaskSize)
dyn_threshold(Fabrik_Label,Label_Mean_normal,Characters_normal,10,'dark')
dev_display(Fabrik)
dev_display(Characters_normal)
* The characters in the border region are not extracted !
stop()
* Character extraction with gray value expansion:
get_domain (Fabrik_Label, Domain)
expand_domain_gray (Fabrik_Label, Expanded_Fabrik_Label, MaskSize)
get_domain (Expanded_Fabrik_Label, Expanded_Domain)
shape_trans (Expanded_Domain, RegionRect, 'rectangle1')
difference (RegionRect, Expanded_Domain, Region_Difference)
overpaint_region (Expanded_Fabrik_Label, Region_Difference, 0, 'fill')
reduce_domain (Expanded_Fabrik_Label, Domain, Reduced_Expanded_Fabrik_Label)
mean_image (Reduced_Expanded_Fabrik_Label, Label_Mean_Expanded,\
MaskSize, MaskSize)
dyn_threshold(Fabrik_Label,Label_Mean_Expanded,\
Characters_expanded,10,'dark')
dev_display(Fabrik)
dev_display(Characters_expanded)

Complexity

Let L the perimeter of the domain. Then the runtime complexity is approximately O(L)*ExpansionRangeExpansionRangeExpansionRangeExpansionRangeexpansionRangeexpansion_range.

Result

expand_domain_grayexpand_domain_grayExpandDomainGrayExpandDomainGrayExpandDomainGrayexpand_domain_gray returns TRUE if all parameters are correct. If necessary, an exception is raised.

Possible Predecessors

reduce_domainreduce_domainReduceDomainReduceDomainReduceDomainreduce_domain

Possible Successors

reduce_domainreduce_domainReduceDomainReduceDomainReduceDomainreduce_domain, mean_imagemean_imageMeanImageMeanImageMeanImagemean_image, dyn_thresholddyn_thresholdDynThresholdDynThresholdDynThresholddyn_threshold

See also

reduce_domainreduce_domainReduceDomainReduceDomainReduceDomainreduce_domain, mean_imagemean_imageMeanImageMeanImageMeanImagemean_image

Module

Foundation