Class LazyGauss<T extends net.imglib2.type.numeric.RealType<T> & net.imglib2.type.NativeType<T>>
java.lang.Object
net.preibisch.mvrecon.process.interestpointdetection.methods.lazygauss.LazyGauss<T>
- Type Parameters:
T- type of input and output
- All Implemented Interfaces:
Consumer<net.imglib2.RandomAccessibleInterval<T>>
public class LazyGauss<T extends net.imglib2.type.numeric.RealType<T> & net.imglib2.type.NativeType<T>>
extends Object
implements Consumer<net.imglib2.RandomAccessibleInterval<T>>
Simple Gaussian filter Op
- Author:
- Stephan Saalfeld, Stephan Preibisch
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Constructor Summary
ConstructorsConstructorDescriptionLazyGauss(long[] min, net.imglib2.RandomAccessible<T> source, T type, double[] sigmas) -
Method Summary
Modifier and TypeMethodDescriptionvoidaccept(net.imglib2.RandomAccessibleInterval<T> output) static final <T extends net.imglib2.type.numeric.RealType<T> & net.imglib2.type.NativeType<T>>
net.imglib2.RandomAccessibleInterval<T> init(net.imglib2.RandomAccessible<T> input, net.imglib2.Interval processingInterval, T type, double[] sigma, int[] blockSize) static void
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Constructor Details
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LazyGauss
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Method Details
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accept
- Specified by:
acceptin interfaceConsumer<T extends net.imglib2.type.numeric.RealType<T> & net.imglib2.type.NativeType<T>>
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init
public static final <T extends net.imglib2.type.numeric.RealType<T> & net.imglib2.type.NativeType<T>> net.imglib2.RandomAccessibleInterval<T> init(net.imglib2.RandomAccessible<T> input, net.imglib2.Interval processingInterval, T type, double[] sigma, int[] blockSize) -
main
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