dual_rank dual_rank DualRank DualRank dual_rank (算子名称)
名称
dual_rank dual_rank DualRank DualRank dual_rank — Opening, Median and Closing with circle or rectangle mask.
参数签名
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 )
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
HImage HImage ::DualRank (const wchar_t* MaskType , Hlong Radius , Hlong ModePercent , const wchar_t* Margin ) const
(
Windows only)
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 )
描述
该算子 dual_rank dual_rank DualRank DualRank DualRank dual_rank carries out a non-linear
transformation of the gray values of all input images
(Image Image Image Image image image ). Circles or squares can be used as structuring
elements. 该算子 dual_rank dual_rank DualRank DualRank DualRank dual_rank effects two
consecutive calls of rank_image rank_image RankImage RankImage RankImage rank_image . At the first call the
range gray value is calculated with the indicated range
(ModePercent ModePercent ModePercent ModePercent modePercent mode_percent ). The result of this calculation is the
input of a further call of rank_image rank_image RankImage RankImage RankImage rank_image , this time using the
range value 100-ModePercent ModePercent ModePercent ModePercent modePercent mode_percent .
When filtering different parameters for border treatment
(Margin Margin Margin Margin margin margin ) 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, (=
ModePercent ModePercent ModePercent ModePercent modePercent mode_percent , rank values between 0...100 in
percent) is selected and set as result gray value in the
corresponding result image.
If ModePercent ModePercent ModePercent ModePercent modePercent mode_percent is 0, then 该算子 equals to the
gray value opening (gray_opening gray_opening GrayOpening GrayOpening GrayOpening gray_opening ). If
ModePercent ModePercent ModePercent ModePercent modePercent mode_percent is 50, 该算子 results in the median
filter, which is applied twice (median_image median_image MedianImage MedianImage MedianImage median_image ). The
ModePercent ModePercent ModePercent ModePercent modePercent mode_percent 100 in dual_rank dual_rank DualRank DualRank DualRank dual_rank means that it
calculates the gray value closing (gray_closing gray_closing GrayClosing GrayClosing GrayClosing gray_closing ).
Choosing parameter values inside this range results in a smooth
transformation of these operators.
For an explanation of the concept of smoothing filters see the introduction
of chapter Filters / Smoothing .
注意
Note that filter operators may return unexpected results if
an image with a reduced domain is used as input. Please refer to the
chapter 过滤器 .
运行信息
多线程类型:可重入(与非独占操作符并行运行)。
多线程作用域:全局(可以从任何线程调用)。
在元组级别自动并行化。
在图像通道级别自动并行化。
Automatically parallelized on domain level.
参数表
Image Image Image Image image image (input_object) (multichannel-)image(-array) → object HImage HObject HImage Hobject (byte / int2 / uint2 / int4 / real)
Image to be filtered.
ImageRank ImageRank ImageRank ImageRank imageRank image_rank (output_object) multichannel-image(-array) → object HImage HObject HImage Hobject * (byte / int2 / uint2 / int4 / real)
Filtered Image.
MaskType MaskType MaskType MaskType maskType mask_type (input_control) string → HTuple str HTuple Htuple (string) (string ) (HString ) (char* )
Shape of the mask.
Default:
'circle'
"circle"
"circle"
"circle"
"circle"
"circle"
List of values:
'circle' "circle" "circle" "circle" "circle" "circle" , 'square' "square" "square" "square" "square" "square"
Radius Radius Radius Radius radius radius (input_control) integer → HTuple int HTuple Htuple (integer) (int / long) (Hlong ) (Hlong )
Radius of the filter mask.
Default:
1
Suggested values:
1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 15, 19, 25, 31, 39, 47, 59
Value range:
1
≤
Radius
Radius
Radius
Radius
radius
radius
≤
101
Minimum increment:
1
Recommended increment:
2
ModePercent ModePercent ModePercent ModePercent modePercent mode_percent (input_control) integer → HTuple int HTuple Htuple (integer) (int / long) (Hlong ) (Hlong )
Filter Mode: 0 corresponds to a gray value
opening , 50 corresponds to a median and 100 to
a gray values closing.
Default:
10
Suggested values:
0, 2, 5, 10, 15, 20, 40, 50, 60, 80, 85, 90, 95, 98, 100
Value range:
0
≤
ModePercent
ModePercent
ModePercent
ModePercent
modePercent
mode_percent
≤
100
Minimum increment:
1
Recommended increment:
2
Margin Margin Margin Margin margin margin (input_control) string → HTuple Union[int, float, str] HTuple Htuple (string / integer / real) (string / int / long / double) (HString / Hlong / double) (char* / Hlong / double)
Border treatment.
Default:
'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
例程 (HDevelop)
read_image(Image,'fabrik')
dual_rank(Image,ImageOpening,'circle',10,10,'mirrored')
dev_display(ImageOpening)
例程 (C)
read_image(&Image,"fabrik");
dual_rank(Image,&ImageOpening,"circle",10,10,"mirrored");
disp_image(ImageOpening,WindowHandle);
例程 (HDevelop)
read_image(Image,'fabrik')
dual_rank(Image,ImageOpening,'circle',10,10,'mirrored')
dev_display(ImageOpening)
例程 (HDevelop)
read_image(Image,'fabrik')
dual_rank(Image,ImageOpening,'circle',10,10,'mirrored')
dev_display(ImageOpening)
例程 (HDevelop)
read_image(Image,'fabrik')
dual_rank(Image,ImageOpening,'circle',10,10,'mirrored')
dev_display(ImageOpening)
Complexity
For each pixel:
with F =
area of the structuring element.
结果
If the parameter values are correct 该算子
dual_rank dual_rank DualRank DualRank DualRank dual_rank 返回值 2 (
H_MSG_TRUE )
. The behavior in case
of empty input (no input images available) is set via 该算子
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>) set_system("no_object_result",<Result>) .
If necessary an exception is raised.
可能的前置算子
read_image read_image ReadImage ReadImage ReadImage read_image
可能的后置算子
threshold threshold Threshold Threshold Threshold threshold ,
dyn_threshold dyn_threshold DynThreshold DynThreshold DynThreshold dyn_threshold ,
sub_image sub_image SubImage SubImage SubImage sub_image ,
regiongrowing regiongrowing Regiongrowing Regiongrowing Regiongrowing regiongrowing
可替代算子
rank_image rank_image RankImage RankImage RankImage rank_image ,
gray_closing gray_closing GrayClosing GrayClosing GrayClosing gray_closing ,
gray_opening gray_opening GrayOpening GrayOpening GrayOpening gray_opening ,
median_image median_image MedianImage MedianImage MedianImage median_image
参考其它
gen_circle gen_circle GenCircle GenCircle GenCircle gen_circle ,
gen_rectangle1 gen_rectangle1 GenRectangle1 GenRectangle1 GenRectangle1 gen_rectangle1 ,
gray_erosion_rect gray_erosion_rect GrayErosionRect GrayErosionRect GrayErosionRect gray_erosion_rect ,
gray_dilation_rect gray_dilation_rect GrayDilationRect GrayDilationRect GrayDilationRect gray_dilation_rect ,
sigma_image sigma_image SigmaImage SigmaImage SigmaImage sigma_image
References
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
模块
Foundation