| Package | Description |
|---|---|
| trainableSegmentation.metrics |
| Modifier and Type | Method and Description |
|---|---|
ClusteredWarpingMismatches |
WarpingError.clusterMismatchesByError(ij.ImagePlus warpedLabels,
ArrayList<Point3f> mismatches,
int[] mismatchClassification)
Cluster the result mismatches from the warping so pixels
belonging to the same error are only counted once.
|
ClusteredWarpingMismatches |
WarpingError.clusterMismatchesByType(int[] mismatchClassification)
Cluster the result mismatches from the warping
by types of errors.
|
ClusteredWarpingMismatches[] |
WarpingError.getClusteredWarpingMismatches(ij.ImagePlus source,
ij.ImagePlus target,
ij.ImagePlus mask,
double binaryThreshold,
boolean clusterByError,
int radius)
Get all the mismatches of warping a source image into a target image
and clustering them when they belong to the same error.
|
| Modifier and Type | Method and Description |
|---|---|
Callable<ClusteredWarpingMismatches> |
WarpingError.getClusteredWarpingMismatchesConcurrent(ij.process.ImageProcessor source,
ij.process.ImageProcessor target,
ij.process.ImageProcessor mask,
double binaryThreshold,
boolean clusterByError,
int radius)
Calculate the simple point warping in a concurrent way
(to be submitted to an Executor Service)
|
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