Name
dual_rankdual_rankDualRankdual_rankDualRankDualRank — Opening, Median and Closing with circle or rectangle mask.
Herror dual_rank(const Hobject Image, Hobject* ImageRank, const char* MaskType, const Hlong Radius, const Hlong ModePercent, const char* Margin)
Herror T_dual_rank(const Hobject Image, Hobject* ImageRank, const Htuple MaskType, const Htuple Radius, const Htuple ModePercent, const Htuple Margin)
Herror dual_rank(Hobject Image, Hobject* ImageRank, const HTuple& MaskType, const HTuple& Radius, const HTuple& ModePercent, const HTuple& Margin)
HImage HImage::DualRank(const HTuple& MaskType, const HTuple& Radius, const HTuple& ModePercent, const HTuple& Margin) const
HImageArray HImageArray::DualRank(const HTuple& MaskType, const HTuple& Radius, const HTuple& ModePercent, const HTuple& Margin) const
void DualRank(const HObject& Image, HObject* ImageRank, const HTuple& MaskType, const HTuple& Radius, const HTuple& ModePercent, const HTuple& Margin)
HImage HImage::DualRank(const HString& MaskType, Hlong Radius, Hlong ModePercent, const HTuple& Margin) const
HImage HImage::DualRank(const HString& MaskType, Hlong Radius, Hlong ModePercent, const HString& Margin) const
HImage HImage::DualRank(const char* MaskType, Hlong Radius, Hlong ModePercent, const char* Margin) const
static void HOperatorSet.DualRank(HObject image, out HObject imageRank, HTuple maskType, HTuple radius, HTuple modePercent, HTuple margin)
HImage HImage.DualRank(string maskType, int radius, int modePercent, HTuple margin)
HImage HImage.DualRank(string maskType, int radius, int modePercent, string margin)
The operator dual_rankdual_rankDualRankdual_rankDualRankDualRank carries out a non-linear
transformation of the gray values of all input images
(ImageImageImageImageImageimage). Circles or squares can be used as structuring
elements. The operator dual_rankdual_rankDualRankdual_rankDualRankDualRank effects two
consecutive calls of rank_imagerank_imageRankImagerank_imageRankImageRankImage. At the first call the
range gray value is calculated with the indicated range
(ModePercentModePercentModePercentModePercentModePercentmodePercent). The result of this calculation is the
input of a further call of rank_imagerank_imageRankImagerank_imageRankImageRankImage, this time using the
range value 100-ModePercentModePercentModePercentModePercentModePercentmodePercent.
When filtering different parameters for border treatment
(MarginMarginMarginMarginMarginmargin) can be chosen:
gray value Pixels outside of the image edges
are assumed to be constant (with the
indicated gray value).
'continued' Continuation of edge pixels.
'cyclic' Cyclic continuation of image edges.
'mirrored' Reflection of pixels at the image edges.
A range filtering is calculated according to the following scheme:
The indicated mask is put over the image to be filtered in such a
way that the center of the mask touches all pixels once. For each
of these pixels all neighboring pixels covered by the mask are
sorted in an ascending sequence corresponding to their gray values.
Each sorted sequence of gray values contains the same number of gray
values like the mask has image points. The n-th highest element, (=
ModePercentModePercentModePercentModePercentModePercentmodePercent, rank values between 0...100 in
percent) is selected and set as result gray value in the
corresponding result image.
If ModePercentModePercentModePercentModePercentModePercentmodePercent is 0, then the operator equals to the
gray value opening (gray_openinggray_openingGrayOpeninggray_openingGrayOpeningGrayOpening). If
ModePercentModePercentModePercentModePercentModePercentmodePercent is 50, the operator results in the median
filter, which is applied twice (median_imagemedian_imageMedianImagemedian_imageMedianImageMedianImage). The
ModePercentModePercentModePercentModePercentModePercentmodePercent 100 in dual_rankdual_rankDualRankdual_rankDualRankDualRank means that it
calculates the gray value closing (gray_closinggray_closingGrayClosinggray_closingGrayClosingGrayClosing).
Choosing parameter values inside this range results in a smooth
transformation of these operators.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Automatically parallelized on tuple level.
- Automatically parallelized on channel level.
- Automatically parallelized on domain level.
Shape of the mask.
Default value:
'circle'
"circle"
"circle"
"circle"
"circle"
"circle"
List of values: 'circle'"circle""circle""circle""circle""circle", 'square'"square""square""square""square""square"
Radius of the filter mask.
Default value: 1
Suggested values: 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 15, 19, 25, 31, 39, 47, 59
Typical range of values: 1
≤
Radius
Radius
Radius
Radius
Radius
radius
≤
101
Minimum increment: 1
Recommended increment: 2
Filter Mode: 0 corresponds to a gray value
opening , 50 corresponds to a median and 100 to
a gray values closing.
Default value: 10
Suggested values: 0, 2, 5, 10, 15, 20, 40, 50, 60, 80, 85, 90, 95, 98, 100
Typical range of values: 0
≤
ModePercent
ModePercent
ModePercent
ModePercent
ModePercent
modePercent
≤
100
Minimum increment: 1
Recommended increment: 2
MarginMarginMarginMarginMarginmargin (input_control) string → HTupleHTupleHTupleVARIANTHtuple (string / integer / real) (string / int / long / double) (HString / Hlong / double) (char* / Hlong / double) (BSTR / Hlong / double) (char* / Hlong / double)
Border treatment.
Default value:
'mirrored'
"mirrored"
"mirrored"
"mirrored"
"mirrored"
"mirrored"
Suggested values: 'mirrored'"mirrored""mirrored""mirrored""mirrored""mirrored", 'cyclic'"cyclic""cyclic""cyclic""cyclic""cyclic", 'continued'"continued""continued""continued""continued""continued", 0, 30, 60, 90, 120, 150, 180, 210, 240, 255
read_image(Image,'fabrik')
dual_rank(Image,ImageOpening,'circle',10,10,'mirrored')
disp_image(ImageOpening,WindowHandle)
read_image(&Image,"fabrik");
dual_rank(Image,&ImageOpening,"circle",10,10,"mirrored");
disp_image(ImageOpening,WindowHandle);
read_image(Image,'fabrik')
dual_rank(Image,ImageOpening,'circle',10,10,'mirrored')
disp_image(ImageOpening,WindowHandle)
read_image(Image,'fabrik')
dual_rank(Image,ImageOpening,'circle',10,10,'mirrored')
disp_image(ImageOpening,WindowHandle)
read_image(Image,'fabrik')
dual_rank(Image,ImageOpening,'circle',10,10,'mirrored')
disp_image(ImageOpening,WindowHandle)
read_image(Image,'fabrik')
dual_rank(Image,ImageOpening,'circle',10,10,'mirrored')
disp_image(ImageOpening,WindowHandle)
For each pixel: O(sqrt(F) * 10) with F =
area of the structuring element.
If the parameter values are correct the operator
dual_rankdual_rankDualRankdual_rankDualRankDualRank returns the value 2 (H_MSG_TRUE). 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>)set_system("no_object_result",<Result>)SetSystem("no_object_result",<Result>)SetSystem("no_object_result",<Result>).
If necessary an exception is raised.
read_imageread_imageReadImageread_imageReadImageReadImage
thresholdthresholdThresholdthresholdThresholdThreshold,
dyn_thresholddyn_thresholdDynThresholddyn_thresholdDynThresholdDynThreshold,
sub_imagesub_imageSubImagesub_imageSubImageSubImage,
regiongrowingregiongrowingRegiongrowingregiongrowingRegiongrowingRegiongrowing
rank_imagerank_imageRankImagerank_imageRankImageRankImage,
gray_closinggray_closingGrayClosinggray_closingGrayClosingGrayClosing,
gray_openinggray_openingGrayOpeninggray_openingGrayOpeningGrayOpening,
median_imagemedian_imageMedianImagemedian_imageMedianImageMedianImage
gen_circlegen_circleGenCirclegen_circleGenCircleGenCircle,
gen_rectangle1gen_rectangle1GenRectangle1gen_rectangle1GenRectangle1GenRectangle1,
gray_erosion_rectgray_erosion_rectGrayErosionRectgray_erosion_rectGrayErosionRectGrayErosionRect,
gray_dilation_rectgray_dilation_rectGrayDilationRectgray_dilation_rectGrayDilationRectGrayDilationRect,
sigma_imagesigma_imageSigmaImagesigma_imageSigmaImageSigmaImage
W. Eckstein, O. Munkelt
“Extracting Objects from Digital Terrain Model”
Remote Sensing and Reconstruction for Threedimensional Objects and Scenes,
SPIE Symposium on Optical Science, Engeneering, and Instrumentation,
July 1995, San Diego
Foundation