distance_transformdistance_transformDistanceTransformDistanceTransformdistance_transform(算子)

名称

distance_transformdistance_transformDistanceTransformDistanceTransformdistance_transform — 计算区域的距离变换。

签名

distance_transform(Region : DistanceImage : Metric, Foreground, Width, Height : )

Herror distance_transform(const Hobject Region, Hobject* DistanceImage, const char* Metric, const char* Foreground, const Hlong Width, const Hlong Height)

Herror T_distance_transform(const Hobject Region, Hobject* DistanceImage, const Htuple Metric, const Htuple Foreground, const Htuple Width, const Htuple Height)

void DistanceTransform(const HObject& Region, HObject* DistanceImage, const HTuple& Metric, const HTuple& Foreground, const HTuple& Width, const HTuple& Height)

HImage HRegion::DistanceTransform(const HString& Metric, const HString& Foreground, Hlong Width, Hlong Height) const

HImage HRegion::DistanceTransform(const char* Metric, const char* Foreground, Hlong Width, Hlong Height) const

HImage HRegion::DistanceTransform(const wchar_t* Metric, const wchar_t* Foreground, Hlong Width, Hlong Height) const   ( Windows only)

static void HOperatorSet.DistanceTransform(HObject region, out HObject distanceImage, HTuple metric, HTuple foreground, HTuple width, HTuple height)

HImage HRegion.DistanceTransform(string metric, string foreground, int width, int height)

def distance_transform(region: HObject, metric: str, foreground: str, width: int, height: int) -> HObject

描述

distance_transformdistance_transformDistanceTransformDistanceTransformDistanceTransformdistance_transform computes for every point of the input region RegionRegionRegionRegionregionregion (or its complement, respectively) the distance of the point to the border of the region. The parameter ForegroundForegroundForegroundForegroundforegroundforeground determines whether the distances are calculated for all points within the region (ForegroundForegroundForegroundForegroundforegroundforeground = 'true'"true""true""true""true""true") or for all points outside the region (ForegroundForegroundForegroundForegroundforegroundforeground = 'false'"false""false""false""false""false"). The distance is computed for every point of the output image DistanceImageDistanceImageDistanceImageDistanceImagedistanceImagedistance_image, which has the specified dimensions WidthWidthWidthWidthwidthwidthHeightHeightHeightHeightheightheight. The input region is always clipped to the extent of the output image. If it is important that the distances within the entire region should be computed, the region should be moved (see move_regionmove_regionMoveRegionMoveRegionMoveRegionmove_region) so that it has only positive coordinates and the width and height of the output image should be large enough to contain the region. The extent of the input region can be obtained with smallest_rectangle1smallest_rectangle1SmallestRectangle1SmallestRectangle1SmallestRectangle1smallest_rectangle1

The parameter MetricMetricMetricMetricmetricmetric determines which metric is used for the calculation of the distances. If MetricMetricMetricMetricmetricmetric = 'city-block'"city-block""city-block""city-block""city-block""city-block", the distance is calculated from the shortest path from the point to the border of the region, where only horizontal and vertical “movements” are allowed. They are weighted with a weight of 1. If MetricMetricMetricMetricmetricmetric = 'chessboard'"chessboard""chessboard""chessboard""chessboard""chessboard", the distance is calculated from the shortest path to the border, where horizontal, vertical, and diagonal “movements” are allowed. They are weighted with a weight of 1. If MetricMetricMetricMetricmetricmetric = 'octagonal'"octagonal""octagonal""octagonal""octagonal""octagonal", a combination of these approaches is used, which leads to diagonal paths receiving a higher weight. If MetricMetricMetricMetricmetricmetric = 'chamfer-3-4'"chamfer-3-4""chamfer-3-4""chamfer-3-4""chamfer-3-4""chamfer-3-4", horizontal and vertical movements are weighted with a weight of 3, while diagonal movements are weighted with a weight of 4. To normalize the distances, the resulting distance image is divided by 3. Since this normalization step takes some time, and one usually is interested in the relative distances of the points, the normalization can be suppressed with MetricMetricMetricMetricmetricmetric = 'chamfer-3-4-unnormalized'"chamfer-3-4-unnormalized""chamfer-3-4-unnormalized""chamfer-3-4-unnormalized""chamfer-3-4-unnormalized""chamfer-3-4-unnormalized". Finally, if MetricMetricMetricMetricmetricmetric = 'euclidean'"euclidean""euclidean""euclidean""euclidean""euclidean", the computed distance is approximately Euclidean.

执行信息

参数

RegionRegionRegionRegionregionregion (输入对象)  region(-array) objectHRegionHObjectHRegionHobject

用于计算与边界距离的区域。

DistanceImageDistanceImageDistanceImageDistanceImagedistanceImagedistance_image (输出对象)  image objectHImageHObjectHImageHobject * (int4)

包含距离信息的图像。

MetricMetricMetricMetricmetricmetric (输入控制)  string HTuplestrHTupleHtuple (string) (string) (HString) (char*)

Type of metric to be used for the distance transformation.

默认值: 'city-block' "city-block" "city-block" "city-block" "city-block" "city-block"

值列表: 'chamfer-3-4'"chamfer-3-4""chamfer-3-4""chamfer-3-4""chamfer-3-4""chamfer-3-4", 'chamfer-3-4-unnormalized'"chamfer-3-4-unnormalized""chamfer-3-4-unnormalized""chamfer-3-4-unnormalized""chamfer-3-4-unnormalized""chamfer-3-4-unnormalized", 'chessboard'"chessboard""chessboard""chessboard""chessboard""chessboard", 'city-block'"city-block""city-block""city-block""city-block""city-block", 'euclidean'"euclidean""euclidean""euclidean""euclidean""euclidean", 'octagonal'"octagonal""octagonal""octagonal""octagonal""octagonal"

ForegroundForegroundForegroundForegroundforegroundforeground (输入控制)  string HTuplestrHTupleHtuple (string) (string) (HString) (char*)

计算输入区域内部('true'"true""true""true""true""true")或外部('false'"false""false""false""false""false")像素的距离。

默认值: 'true' "true" "true" "true" "true" "true"

值列表: 'false'"false""false""false""false""false", 'true'"true""true""true""true""true"

WidthWidthWidthWidthwidthwidth (输入控制)  extent.x HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

输出图像的宽度。

默认值: 640

建议值: 160, 192, 320, 384, 640, 768

值范围: 1 ≤ Width Width Width Width width width

HeightHeightHeightHeightheightheight (输入控制)  extent.y HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

输出图像的高度。

默认值: 480

建议值: 120, 144, 240, 288, 480, 576

值范围: 1 ≤ Height Height Height Height height height

示例(HDevelop)

* Step towards extracting the medial axis of a shape:
gen_rectangle1 (Rectangle1, 0, 0, 200, 400)
gen_rectangle1 (Rectangle2, 200, 0, 400, 200)
union2 (Rectangle1, Rectangle2, Shape)
distance_transform (Shape, DistanceImage, 'chessboard', 'true', 640, 480)

复杂度

运行时间复杂度为 O(WidthWidthWidthWidthwidthwidth*HeightHeightHeightHeightheightheight)。

结果

distance_transformdistance_transformDistanceTransformDistanceTransformDistanceTransformdistance_transform 在所有参数正确时返回 2 (H_MSG_TRUE)。

可能的前趋

thresholdthresholdThresholdThresholdThresholdthreshold, dyn_thresholddyn_thresholdDynThresholdDynThresholdDynThresholddyn_threshold, regiongrowingregiongrowingRegiongrowingRegiongrowingRegiongrowingregiongrowing

可能的后继

thresholdthresholdThresholdThresholdThresholdthreshold

替代

closest_point_transformclosest_point_transformClosestPointTransformClosestPointTransformClosestPointTransformclosest_point_transform

另见

skeletonskeletonSkeletonSkeletonSkeletonskeleton

参考文献

P. Soille: “Morphological Image Analysis, Principles and Applications”; Springer Verlag Berlin Heidelberg New York, 1999.
G. Borgefors: “Distance Transformations in Arbitrary Dimensions”; Computer Vision, Graphics, and Image Processing, Vol. 27, pages 321--345, 1984.
P.E. Danielsson: “Euclidean Distance Mapping”; Computer Graphics and Image Processing, Vol. 14, pages 227--248, 1980.

模块

基础