dual_thresholddual_thresholdDualThresholdDualThresholddual_threshold（算子）

名称

dual_thresholddual_thresholdDualThresholdDualThresholddual_threshold — 已签名图像的阈值算子。

签名

dual_threshold(Image : RegionCrossings : MinSize, MinGray, Threshold : )

描述

dual_thresholddual_thresholdDualThresholdDualThresholdDualThresholddual_threshold segments the input image into a region with gray values ThresholdThresholdThresholdThresholdthresholdthreshold (“positive” regions) and a region with gray values ThresholdThresholdThresholdThresholdthresholdthreshold (“negative” regions). Only “positive” or “negative” regions having a size larger than MinSizeMinSizeMinSizeMinSizeminSizemin_size are taken into account. And regions whose maximum gray value is less than MinGrayMinGrayMinGrayMinGrayminGraymin_gray in absolute value are suppressed.

The segmentation performed is not complete, i.e., the “positive” and “negative” regions together do not necessarily cover the entire image: Areas with a gray value between ThresholdThresholdThresholdThresholdthresholdthreshold 和 ThresholdThresholdThresholdThresholdthresholdthreshold, MinGrayMinGrayMinGrayMinGrayminGraymin_gray 和 MinGrayMinGrayMinGrayMinGrayminGraymin_gray, respectively, are not taken into account.

dual_thresholddual_thresholdDualThresholdDualThresholdDualThresholddual_threshold is usually called after applying a Laplace operator (laplacelaplaceLaplaceLaplaceLaplacelaplace, laplace_of_gausslaplace_of_gaussLaplaceOfGaussLaplaceOfGaussLaplaceOfGausslaplace_of_gauss, derivate_gaussderivate_gaussDerivateGaussDerivateGaussDerivateGaussderivate_gauss 或 diff_of_gaussdiff_of_gaussDiffOfGaussDiffOfGaussDiffOfGaussdiff_of_gauss) to an image or with the difference of two images (sub_imagesub_imageSubImageSubImageSubImagesub_image）。

The zero crossings of a Laplace image correspond to edges in an image, and are the separating regions of the “positive” and “negative” regions in the Laplace image. They can be determined by calling dual_thresholddual_thresholdDualThresholdDualThresholdDualThresholddual_threshold with ThresholdThresholdThresholdThresholdthresholdthreshold = 1 and then creating the complement regions with complementcomplementComplementComplementComplementcomplement。The parameter MinGrayMinGrayMinGrayMinGrayminGraymin_gray determines the noise invariance, while MinSizeMinSizeMinSizeMinSizeminSizemin_size determines the resolution of the edge detection.

Using byte images, only the positive part of the operator is applied. Therefore dual_thresholddual_thresholdDualThresholdDualThresholdDualThresholddual_threshold behaves like a standard threshold operator (thresholdthresholdThresholdThresholdThresholdthreshold) with successive connectionconnectionConnectionConnectionConnectionconnection 和 select_grayselect_graySelectGraySelectGraySelectGrayselect_gray。

执行信息

多线程类型：可重入（与非独占算子并行运行）。
多线程作用域：全局（可从任何线程调用）。
在元组级别上自动并行化。
在内部数据级别上自动并行化。

参数

ImageImageImageImageimageimage (输入对象) singlechannelimage(-array) → object (byte / int1 / int2 / int4 / real)

输入图像。

RegionCrossingsRegionCrossingsRegionCrossingsRegionCrossingsregionCrossingsregion_crossings (输出对象) region-array → object

Positive and negative regions.

MinSizeMinSizeMinSizeMinSizeminSizemin_size (输入控制) integer → (integer)

Regions smaller than MinSize are suppressed.

默认值： 20

建议值： 0, 10, 20, 50, 100, 200, 500, 1000

值范围： 0 ≤ MinSize MinSize MinSize MinSize minSize min_size ≤ 10000 (lin)

最小增量： 1

建议增量： 10

MinGrayMinGrayMinGrayMinGrayminGraymin_gray (输入控制) real → (real)

Regions whose maximum absolute gray value is smaller than MinGray are suppressed.

默认值： 5.0

建议值： 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 9.0, 11.0, 15.0, 20.0

值范围： 0 ≤ MinGray MinGray MinGray MinGray minGray min_gray (lin)

最小增量： 1.0

建议增量： 10.0

ThresholdThresholdThresholdThresholdthresholdthreshold (输入控制) real → (real)

Regions that have a gray value smaller than Threshold (or larger than -Threshold) are suppressed.

默认值： 2.0

建议值： 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 9.0, 11.0, 15.0, 20.0

值范围： 0 ≤ Threshold Threshold Threshold Threshold threshold threshold (lin)

最小增量： 1.0

建议增量： 10.0

示例（HDevelop）

* Edge detection with the Laplace operator (and edge thinning)
diff_of_gauss(Image,Laplace,2.0,1.6)
* find "`positive"' and "`negative"' regions:
dual_threshold(Laplace,Region,20,2,1)
* The zero runnings are the complement to these image section:
complement(Region,ZeroCrossings)

* Simulation of dual_threshold
dual_threshold(Laplace,Result,MinS,MinG,Threshold)
threshold(Laplace,Tmp1,Threshold,999999)
connection(Tmp1,Tmp2)
select_shape(Tmp2,Tmp3,'area','and',MinS,999999)
select_gray(Laplace,Tmp3,Tmp4,'max','and',MinG,999999)
threshold(Laplace,Tmp5,-999999,-Threshold)
connection(Tmp5,Tmp6)
select_shape(Tmp6,Tmp7,'area','and',MinS,999999)
select_gray(Laplace,Tmp7,Tmp8,'min','and',-999999,-MinG)
concat_obj(Tmp4,Tmp8,Result)

示例（C）

/* Edge detection with the Laplace operator (and edge thinning) */
diff_of_gauss(Image,&Laplace,2.0,1.6);
/* find "`positive"' and "`negative"' regions: */
dual_threshold(Laplace,&Region,20,2,1);
/*The zero runnings are the complement to these image section: */
complement(Region,ZeroCrossings);

示例（HDevelop）

* Edge detection with the Laplace operator (and edge thinning)
diff_of_gauss(Image,Laplace,2.0,1.6)
* find "`positive"' and "`negative"' regions:
dual_threshold(Laplace,Region,20,2,1)
* The zero runnings are the complement to these image section:
complement(Region,ZeroCrossings)

* Simulation of dual_threshold
dual_threshold(Laplace,Result,MinS,MinG,Threshold)
threshold(Laplace,Tmp1,Threshold,999999)
connection(Tmp1,Tmp2)
select_shape(Tmp2,Tmp3,'area','and',MinS,999999)
select_gray(Laplace,Tmp3,Tmp4,'max','and',MinG,999999)
threshold(Laplace,Tmp5,-999999,-Threshold)
connection(Tmp5,Tmp6)
select_shape(Tmp6,Tmp7,'area','and',MinS,999999)
select_gray(Laplace,Tmp7,Tmp8,'min','and',-999999,-MinG)
concat_obj(Tmp4,Tmp8,Result)

示例（HDevelop）

* Edge detection with the Laplace operator (and edge thinning)
diff_of_gauss(Image,Laplace,2.0,1.6)
* find "`positive"' and "`negative"' regions:
dual_threshold(Laplace,Region,20,2,1)
* The zero runnings are the complement to these image section:
complement(Region,ZeroCrossings)

* Simulation of dual_threshold
dual_threshold(Laplace,Result,MinS,MinG,Threshold)
threshold(Laplace,Tmp1,Threshold,999999)
connection(Tmp1,Tmp2)
select_shape(Tmp2,Tmp3,'area','and',MinS,999999)
select_gray(Laplace,Tmp3,Tmp4,'max','and',MinG,999999)
threshold(Laplace,Tmp5,-999999,-Threshold)
connection(Tmp5,Tmp6)
select_shape(Tmp6,Tmp7,'area','and',MinS,999999)
select_gray(Laplace,Tmp7,Tmp8,'min','and',-999999,-MinG)
concat_obj(Tmp4,Tmp8,Result)

示例（HDevelop）

* Edge detection with the Laplace operator (and edge thinning)
diff_of_gauss(Image,Laplace,2.0,1.6)
* find "`positive"' and "`negative"' regions:
dual_threshold(Laplace,Region,20,2,1)
* The zero runnings are the complement to these image section:
complement(Region,ZeroCrossings)

* Simulation of dual_threshold
dual_threshold(Laplace,Result,MinS,MinG,Threshold)
threshold(Laplace,Tmp1,Threshold,999999)
connection(Tmp1,Tmp2)
select_shape(Tmp2,Tmp3,'area','and',MinS,999999)
select_gray(Laplace,Tmp3,Tmp4,'max','and',MinG,999999)
threshold(Laplace,Tmp5,-999999,-Threshold)
connection(Tmp5,Tmp6)
select_shape(Tmp6,Tmp7,'area','and',MinS,999999)
select_gray(Laplace,Tmp7,Tmp8,'min','and',-999999,-MinG)
concat_obj(Tmp4,Tmp8,Result)

结果

dual_thresholddual_thresholdDualThresholdDualThresholdDualThresholddual_threshold 在所有参数正确时返回 2 (H_MSG_TRUE)。通过 set_systemset_systemSetSystemSetSystemSetSystemset_system 算子设置标志 'no_object_result'"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""empty_region_result" 和 'store_empty_region'"store_empty_region""store_empty_region""store_empty_region""store_empty_region""store_empty_region" 的值，可确定系统对输入图像和输出区域的行为方式。如有必要，则抛出异常。

可能的前趋

min_max_graymin_max_grayMinMaxGrayMinMaxGrayMinMaxGraymin_max_gray, sobel_ampsobel_ampSobelAmpSobelAmpSobelAmpsobel_amp, binomial_filterbinomial_filterBinomialFilterBinomialFilterBinomialFilterbinomial_filter, gauss_filtergauss_filterGaussFilterGaussFilterGaussFiltergauss_filter, reduce_domainreduce_domainReduceDomainReduceDomainReduceDomainreduce_domain, diff_of_gaussdiff_of_gaussDiffOfGaussDiffOfGaussDiffOfGaussdiff_of_gauss, sub_imagesub_imageSubImageSubImageSubImagesub_image, derivate_gaussderivate_gaussDerivateGaussDerivateGaussDerivateGaussderivate_gauss, laplace_of_gausslaplace_of_gaussLaplaceOfGaussLaplaceOfGaussLaplaceOfGausslaplace_of_gauss, laplacelaplaceLaplaceLaplaceLaplacelaplace, expand_regionexpand_regionExpandRegionExpandRegionExpandRegionexpand_region

可能的后继

connectionconnectionConnectionConnectionConnectionconnection, dilation1dilation1Dilation1Dilation1Dilation1dilation1, erosion1erosion1Erosion1Erosion1Erosion1erosion1, openingopeningOpeningOpeningOpeningopening, closingclosingClosingClosingClosingclosing, rank_regionrank_regionRankRegionRankRegionRankRegionrank_region, shape_transshape_transShapeTransShapeTransShapeTransshape_trans, skeletonskeletonSkeletonSkeletonSkeletonskeleton

替代

thresholdthresholdThresholdThresholdThresholdthreshold, dyn_thresholddyn_thresholdDynThresholdDynThresholdDynThresholddyn_threshold, check_differencecheck_differenceCheckDifferenceCheckDifferenceCheckDifferencecheck_difference

另见

connectionconnectionConnectionConnectionConnectionconnection, select_shapeselect_shapeSelectShapeSelectShapeSelectShapeselect_shape, select_grayselect_graySelectGraySelectGraySelectGrayselect_gray

模块

基础

算子