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/*
 * #%L
 * ImgLib2: a general-purpose, multidimensional image processing library.
 * %%
 * Copyright (C) 2009 - 2018 Tobias Pietzsch, Stephan Preibisch, Stephan Saalfeld,
 * John Bogovic, Albert Cardona, Barry DeZonia, Christian Dietz, Jan Funke,
 * Aivar Grislis, Jonathan Hale, Grant Harris, Stefan Helfrich, Mark Hiner,
 * Martin Horn, Steffen Jaensch, Lee Kamentsky, Larry Lindsey, Melissa Linkert,
 * Mark Longair, Brian Northan, Nick Perry, Curtis Rueden, Johannes Schindelin,
 * Jean-Yves Tinevez and Michael Zinsmaier.
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package net.imglib2.util;

/**
 * Static utility methods to convert from a value to a bin, useful for dealing
 * with histograms and LUTs.
 * 
 * @author Aivar Grislis
 */
public class Binning
{

	// -- Utility methods --

	/**
	 * Convert value to bin number.
	 * 

* This variant is inclusive, it assigns all values to the range * 0..(bins-1). * * @param bins * @param min * @param max * @param value * @return bin number 0...(bins-1) */ public static int valueToBin( final int bins, final double min, final double max, final double value ) { int bin = exclusiveValueToBin( bins, min, max, value ); bin = Math.max( bin, 0 ); bin = Math.min( bin, bins - 1 ); return bin; } /** * Convert value to bin number. *

* This variant is exclusive, not all values map to the range 0...(bins-1). */ public static int exclusiveValueToBin( final int bins, final double min, final double max, final double value ) { int bin; if ( max != min ) { if ( value != max ) { // convert in-range values to 0.0...1.0 final double temp = ( value - min ) / ( max - min ); // note multiply by bins, not (bins - 1) // note floor is needed so that small negative values go to -1 bin = ( int ) Math.floor( temp * bins ); } else { // value == max, special case, otherwise 1.0 * bins is bins bin = bins - 1; } } else { // max == min, degenerate case bin = bins / 2; } return bin; } /** * Returns array of left edge values for each bin. */ public static double[] edgeValuesPerBin( final int bins, final double min, final double max ) { final double[] edgeValues = new double[ bins ]; for ( int i = 0; i < bins; ++i ) { edgeValues[ i ] = min + ( max - min ) * i / bins; } return edgeValues; } /** * Returns array of center values for each bin. */ public static double[] centerValuesPerBin( final int bins, final double min, final double max ) { final double[] edgeValues = edgeValuesPerBin( bins, min, max ); final double[] centerValues = new double[ bins ]; // average the edge values to get centers for ( int i = 0; i < bins - 1; ++i ) { centerValues[ i ] = ( edgeValues[ i ] + edgeValues[ i + 1 ] ) / 2; } // special case for last bin centerValues[ bins - 1 ] = ( edgeValues[ bins - 1 ] + max ) / 2; return centerValues; } }





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