# assignToBins

## PURPOSE

Quantizes A according to values in edges.

## SYNOPSIS

function B = assignToBins( A, edges )

## DESCRIPTION

     Quantizes A according to values in edges.

     assignToBins replaces each value in A with a value between [0,nBins] where
     nBins=length(edges)-1.  edges must be a vector of monotonically
     increasing values.  Each element v in A gets converted to a discrete
     value q such that edges(q)<=v< edges(q+1). If v==edges(end) then q=nBins.
     If v does not fall into any bin, then q=0. See histc2 for more details
     about edges.  For even spaced edges can get away with rounding A
     appropriately, see example below.

     USAGE
      B = assignToBins( A, edges )

     INPUTS
      A      - numeric array of arbitrary dimension
      edges  - quantization bounds, see histc2

     OUTPUTS
      B      - size(A) array of quantization levels, ints between [0,nBins]

     EXAMPLE
      A = rand(5,5);
      B1 = assignToBins(A,[0:.1:1]);
      B2 = ceil(A*10); B1-B2

     See also HISTC2

     Piotr's Image&Video Toolbox      Version 2.0
     Copyright 2008 Piotr Dollar.  [pdollar-at-caltech.edu]
     Please email me if you find bugs, or have suggestions or questions!
     Licensed under the Lesser GPL [see external/lgpl.txt]

## CROSS-REFERENCE INFORMATION

This function calls:

This function is called by:

- histcImWin Calculates local histograms at every point in an image I.