Module org.scijava.ops.image
Class ComputeMeanThreshold<T extends RealType<T>>
- java.lang.Object
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- org.scijava.ops.image.threshold.AbstractComputeThresholdHistogram<T>
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- org.scijava.ops.image.threshold.mean.ComputeMeanThreshold<T>
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- All Implemented Interfaces:
BiConsumer<Histogram1d<T>,T>,Computers.Arity1<Histogram1d<T>,T>
public class ComputeMeanThreshold<T extends RealType<T>> extends AbstractComputeThresholdHistogram<T>
Implements a mean threshold method by Glasbey.- Author:
- Barry DeZonia, Gabriel Landini
- Implementation Note:
- op names='threshold.mean'
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Constructor Summary
Constructors Constructor Description ComputeMeanThreshold()
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static longcomputeBin(long[] histogram)C.longcomputeBin(Histogram1d<T> hist)TODO-
Methods inherited from class org.scijava.ops.image.threshold.AbstractComputeThresholdHistogram
compute
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Methods inherited from interface java.util.function.BiConsumer
andThen
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Methods inherited from interface org.scijava.function.Computers.Arity1
accept
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Method Detail
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computeBin
public long computeBin(Histogram1d<T> hist)
TODO- Specified by:
computeBinin classAbstractComputeThresholdHistogram<T extends RealType<T>>- Parameters:
hist- theHistogram1d- Returns:
- the Mean threshold value
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computeBin
public static long computeBin(long[] histogram)
C. A. Glasbey,
"An analysis of histogram-based thresholding algorithms,"
CVGIP: Graphical Models and Image Processing, vol. 55, pp. 532-537,
1993.The threshold is the mean of the greyscale data
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