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java.lang.Objectbr.usp.ime.klava.segmentit.util.MarkersFromPartition
public final class MarkersFromPartition
Computes the markers that can be used to recover the given partition by the
watershed transform. The computation of the markers are done in the
PrimitiveCatchmentBasin
granularity, computing the so called
non-redundant receptive regions (NRRRs) and creating markers that crosses all
the NRRRs of each region of interest.
More details on the NRRRs computation can be found on: Seed-Relative Segmentation Robustness of Watershed and Fuzzy Connectedness Approaches
Method Summary | |
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static java.awt.image.BufferedImage |
getMarkersImage(PrimitiveCatchmentBasinsGraph graph,
int[] labels)
Returns an image containing markers that crosses all the NRRRs of each region of interest of the partition to be recovered. |
static java.awt.image.BufferedImage |
getMarkersImage(PrimitiveCatchmentBasinsGraph graph,
TreeOfCriticalLakes TCL)
Returns an image containing markers that crosses all the NRRRs of each region of interest of the partition to be recovered. |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Method Detail |
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public static java.awt.image.BufferedImage getMarkersImage(PrimitiveCatchmentBasinsGraph graph, TreeOfCriticalLakes TCL)
graph
- the PrimitiveCatchmentBasinsGraph
from with the
partition is derivedTCL
- the TreeOfCriticalLakes
whose selected partition is
the desired partition to be recovered
PrimitiveCatchmentBasin
granularitypublic static java.awt.image.BufferedImage getMarkersImage(PrimitiveCatchmentBasinsGraph graph, int[] labels)
graph
- the PrimitiveCatchmentBasinsGraph
from with the
partition is derivedlabels
- a labeling to the vertices of the given graph
representing the desired partition
PrimitiveCatchmentBasin
granularity
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