Uses of Interface
sc.fiji.snt.tracing.cost.Cost

Packages that use Cost

Package	Description
sc.fiji.snt.tracing	Path-finding algorithms for interactive neuron tracing.
sc.fiji.snt.tracing.auto	Automatic neuron tracing algorithms that reconstruct complete neuronal morphologies from images without user interaction.
sc.fiji.snt.tracing.cost	Cost function implementations for classes implementing SearchInterface

Uses of Cost in sc.fiji.snt.tracing

Fields in sc.fiji.snt.tracing declared as Cost

Modifier and Type	Field	Description
protected final Cost	BiSearch.costFunction
protected final Cost	SearchThread.costFunction

Constructors in sc.fiji.snt.tracing with parameters of type Cost

Modifier	Constructor	Description
	BiSearch(net.imglib2.RandomAccessibleInterval<? extends net.imglib2.type.numeric.RealType<?>> image, ij.measure.Calibration calibration, int start_x, int start_y, int start_z, int goal_x, int goal_y, int goal_z, int timeoutSeconds, long reportEveryMilliseconds, SNT.SearchImageType searchImageType, Cost costFunction, Heuristic heuristic)
	BiSearch(SNT snt, int start_x, int start_y, int start_z, int goal_x, int goal_y, int goal_z, Cost costFunction, Heuristic heuristic)
	BiSearch(SNT snt, net.imglib2.RandomAccessibleInterval<? extends net.imglib2.type.numeric.RealType<?>> image, int start_x, int start_y, int start_z, int goal_x, int goal_y, int goal_z, Cost costFunction, Heuristic heuristic)
	FillerThread(net.imagej.Dataset dataset, double initialThreshold, int timeoutSeconds, long reportEveryMilliseconds, Cost costFunction)
	FillerThread(net.imagej.Dataset dataset, double initialThreshold, int timeoutSeconds, long reportEveryMilliseconds, Cost costFunction, SNT.SearchImageType searchImageType)
	FillerThread(net.imagej.Dataset dataset, double initialThreshold, Cost costFunction)
	FillerThread(net.imglib2.RandomAccessibleInterval<? extends net.imglib2.type.numeric.RealType<?>> image, ij.measure.Calibration calibration, double initialThreshold, int timeoutSeconds, long reportEveryMilliseconds, Cost costFunction)
	FillerThread(net.imglib2.RandomAccessibleInterval<? extends net.imglib2.type.numeric.RealType<?>> image, ij.measure.Calibration calibration, double initialThreshold, int timeoutSeconds, long reportEveryMilliseconds, Cost costFunction, SNT.SearchImageType searchImageType)
	FillerThread(net.imglib2.RandomAccessibleInterval<? extends net.imglib2.type.numeric.RealType<?>> image, ij.measure.Calibration calibration, double initialThreshold, long reportEveryMilliseconds, Cost costFunction)
	FillerThread(net.imglib2.RandomAccessibleInterval<? extends net.imglib2.type.numeric.RealType<?>> image, ij.measure.Calibration calibration, double initialThreshold, Cost costFunction)
protected	SearchThread(net.imagej.Dataset dataset, boolean bidirectional, boolean definedGoal, int timeoutSeconds, long reportEveryMilliseconds, SNT.SearchImageType searchImageType, Cost costFunction)
protected	SearchThread(net.imglib2.RandomAccessibleInterval<? extends net.imglib2.type.numeric.RealType<?>> image, ij.measure.Calibration calibration, boolean bidirectional, boolean definedGoal, int timeoutSeconds, long reportEveryMilliseconds, SNT.SearchImageType searchImageType, Cost costFunction)
protected	SearchThread(SNT snt, net.imglib2.RandomAccessibleInterval<? extends net.imglib2.type.numeric.RealType<?>> image, Cost costFunction)
	TracerThread(net.imagej.Dataset dataset, int start_x, int start_y, int start_z, int goal_x, int goal_y, int goal_z, int timeoutSeconds, long reportEveryMilliseconds, SNT.SearchImageType searchImageType, Cost costFunction, Heuristic heuristic)
	TracerThread(net.imagej.Dataset dataset, int start_x, int start_y, int start_z, int goal_x, int goal_y, int goal_z, int timeoutSeconds, long reportEveryMilliseconds, Cost costFunction, Heuristic heuristic)
	TracerThread(net.imagej.Dataset dataset, int start_x, int start_y, int start_z, int goal_x, int goal_y, int goal_z, Cost costFunction)
	TracerThread(net.imagej.Dataset dataset, int start_x, int start_y, int start_z, int goal_x, int goal_y, int goal_z, Cost costFunction, Heuristic heuristic)
	TracerThread(net.imglib2.RandomAccessibleInterval<? extends net.imglib2.type.numeric.RealType<?>> image, ij.measure.Calibration calibration, int start_x, int start_y, int start_z, int goal_x, int goal_y, int goal_z, int timeoutSeconds, long reportEveryMilliseconds, SNT.SearchImageType searchImageType, Cost costFunction, Heuristic heuristic)
	TracerThread(SNT snt, int start_x, int start_y, int start_z, int goal_x, int goal_y, int goal_z, Cost costFunction, Heuristic heuristic)
	TracerThread(SNT snt, net.imglib2.RandomAccessibleInterval<? extends net.imglib2.type.numeric.RealType<?>> image, int start_x, int start_y, int start_z, int goal_x, int goal_y, int goal_z, Cost costFunction, Heuristic heuristic)

Uses of Cost in sc.fiji.snt.tracing.auto

Methods in sc.fiji.snt.tracing.auto with parameters of type Cost

Modifier and Type	Method	Description
void	ComponentReconnector.setCostFunction(Cost cost)	Sets the cost function for A* searches.

Uses of Cost in sc.fiji.snt.tracing.cost

Classes in sc.fiji.snt.tracing.cost that implement Cost

Modifier and Type	Class	Description
class	Difference	Cost function that computes path cost based on the difference between voxel values and a specified range, useful for tracing along intensity gradients.
class	DifferenceSq
class	OneMinusErf	A cost function inspired by an A* search implementation in the Janelia Workstation, where the cost of moving to a new voxel is given by the complementary error function 1 - erf(z), where
class	Reciprocal	Uses the reciprocal of voxel intensity, rescaled to the interval (double precision) 255 * (intensity - min) / (max - min) to compute the cost of moving to a neighbor node.