Watershed Extinction

Detailed Description

Collaboration diagram for Watershed Extinction:

Classes
class	ExtinctionFlooding< T, labelT, extValType, HQ_Type >
	Generic extinction flooding process. More...

Functions
template<class T , class labelT , class outT >
RES_T	watershedExtinctionGraph (const Image< T > &imIn, const Image< labelT > &imMarkers, Image< labelT > &imBasinsOut, Graph< labelT, outT > &graph, const char *extinctionType="v", const StrElt &se=DEFAULT_SE)
	Calculation of the minimum spanning tree, simultaneously to the image flooding, with edges weighted according to volume extinction values. More...
template<class T , class labelT >
Graph< labelT, labelT >	watershedExtinctionGraph (const Image< T > &imIn, const Image< labelT > &imMarkers, Image< labelT > &imBasinsOut, const char *extinctionType="v", const StrElt &se=DEFAULT_SE)
	Warning: returns a graph with ranking values.

Function Documentation

watershedExtinctionGraph()

RES_T smil::watershedExtinctionGraph	(	const Image< T > &	imIn,
		const Image< labelT > &	imMarkers,
		Image< labelT > &	imBasinsOut,
		Graph< labelT, outT > &	graph,
		const char *	extinctionType = "v",
		const StrElt &	se = DEFAULT_SE
	)

Calculation of the minimum spanning tree, simultaneously to the image flooding, with edges weighted according to volume extinction values.

Example

from smilPython import *
 
imIn = Image("https://smil.cmm.minesparis.psl.eu/images/lena.png")
imGrad = Image(imIn)
imMark = Image(imIn, "UINT16")
imBasins = Image(imMark)
 
gradient(imIn, imGrad)
hMinimaLabeled(imGrad, 5, imMark)
 
nRegions = 25
extType = "v"
 
# Graph version
 
imGraphOut = Image(imMark)
g = watershedExtinctionGraph(imGrad, imMark, imBasins, extType)
g.removeLowEdges(nRegions)
graphToMosaic(imBasins, g, imGraphOut)
# Re-labelize (usefull only to have the same label values in both versions)
label(imGraphOut, imGraphOut)
imGraphOut.showLabel()
 
 
# Image version
 
imImgOut = Image(imMark)
watershedExtinction(imGrad, imMark, imImgOut, imBasins, extType)
compare(imImgOut, ">", nRegions, 0, imMark, imMark);
basins(imGrad, imMark, imImgOut)
# Re-labelize (usefull only to have the same label values in both versions)
label(imImgOut, imImgOut)
imImgOut.showLabel()