Uses of Class
trainableSegmentation.metrics.WarpingResults

Packages that use WarpingResults

Package	Description
trainableSegmentation.metrics

Uses of WarpingResults in trainableSegmentation.metrics

Methods in trainableSegmentation.metrics that return WarpingResults

Modifier and Type	Method and Description
WarpingResults	WarpingError.getWarpingResults(double binaryThreshold, boolean clusterByError, boolean calculateMismatchImage, int radius) Calculate warping error and return the related result images and values.
WarpingResults	WarpingError.simplePointWarp2d(ij.process.ImageProcessor source, ij.process.ImageProcessor target, ij.process.ImageProcessor mask, double binaryThreshold) Use simple point relaxation to warp 2D source into 2D target.
WarpingResults[]	WarpingError.simplePointWarp2dMT(double binaryThreshold, boolean clusterByError, boolean calculateMismatchImage, int radius) Use simple point relaxation to warp 2D labels into the 2D proposal.
WarpingResults[]	WarpingError.simplePointWarp2dMT(ij.ImagePlus source, ij.ImagePlus target, ij.ImagePlus mask, double binaryThreshold) Use simple point relaxation to warp 2D source into 2D target.

Methods in trainableSegmentation.metrics that return types with arguments of type WarpingResults

Modifier and Type	Method and Description
Callable<WarpingResults>	WarpingError.getWarpingResultsConcurrent(ij.process.ImageProcessor source, ij.process.ImageProcessor target, ij.process.ImageProcessor mask, double binaryThreshold, boolean clusterByError, int radius, int flags, boolean calculateMismatchImage) Calculate the simple point warping in a concurrent way (to be submitted to an Executor Service)
Callable<WarpingResults>	WarpingError.simplePointWarp2DConcurrent(ij.process.ImageProcessor source, ij.process.ImageProcessor target, ij.process.ImageProcessor mask, double binaryThreshold) Calculate the simple point warping in a concurrent way (to be submitted to an Executor Service)
Callable<WarpingResults>	WarpingError.simplePointWarp2DConcurrent(ij.process.ImageProcessor source, ij.process.ImageProcessor target, ij.process.ImageProcessor mask, double binaryThreshold, boolean calculateMismatchImage, int radius) Calculate the simple point warping in a concurrent way (to be submitted to an Executor Service)

Methods in trainableSegmentation.metrics with parameters of type WarpingResults

Modifier and Type	Method and Description
ij.ImagePlus	WarpingError.getMismatchImage(WarpingResults wr, int radius) Get the image with the classified mismatches
ij.ImagePlus	WarpingError.getMismatchImage(WarpingResults wr, int[] mismatchesLabels, int flags) Get the image with the classified mismatches
ij.ImagePlus	WarpingError.getMismatchImage(WarpingResults wr, int radius, int flags) Get the image with the classified mismatches