Detailed Description

Collaboration diagram for Distance Function:

Function Documentation

◆ distance()

template<class T1 , class T2 >

RES_T distance	(	const Image< T1 > &	imIn,
		Image< T2 > &	imOut,
		const StrElt &	se = `DEFAULT_SE`
	)

distance() - Distance function

Parameters

[in]	imIn	: Binary input image
[out]	imOut	: Output image
[in]	se	: Structuring Element

◆ distanceEuclidean()

template<class T1 , class T2 >

RES_T distanceEuclidean	(	const Image< T1 > &	imIn,
		Image< T2 > &	imOut,
		const StrElt &	se = `DEFAULT_SE`
	)

distanceEuclidean() - Euclidean distance function.

Parameters

[in]	imIn	: Binary input image
[out]	imOut	: Output image
[in]	se	: Structuring Element

◆ distanceGeodesic()

template<class T1 , class T2 >

RES_T distanceGeodesic	(	const Image< T1 > &	imIn,
		const Image< T1 > &	imMask,
		Image< T2 > &	imOut,
		const StrElt &	se = `DEFAULT_SE`
	)

distanceGeodesic() - Geodesic distance function

Parameters

[in]	imIn	: Binary input image
[in]	imMask	: Binary mask image
[out]	imOut	: Output image
[in]	se	: Structuring Element

Example

import smilPython as sp
 
im = sp.Image("cells.png")
 
imDist = sp.Image(im)
imMask = sp.Image(im)
imMark = sp.Image(im)
imGeoDist = sp.Image(im)
 
# create a marker image, the same as the original image except at
# some point inside the "true" region, which is set to "0" 
nl = sp.HexSE()
sp.distance(im, imDist, nl)
sp.compare(imDist, "==", sp.maxVal(imDist), 0, im, imMark)
 
# use the original image as the mask.
sp.copy(im, imMask)
sp.distanceGeodesic(imMark, imMask, imGeoDist, nl)
 
imGeoDist.show()
sp.maxVal(imGeoDist)