# histeq

Enhance contrast using histogram equalization

## Syntax

## Description

transforms the colormap associated with the indexed image `newcmap`

= histeq(`X`

,`map`

,`hgram`

)`X`

so that the histogram of the gray component of the indexed image
(`X`

,`newcmap`

) approximately matches
the target histogram `hgram`

. The `histeq`

function returns the transformed colormap in `newcmap`

.
`length(hgram)`

must be the same as
`size(map,1)`

.

## Examples

## Input Arguments

## Output Arguments

## Algorithms

When you supply a target histogram `hgram`

, `histeq`

chooses the grayscale transformation `T`

to minimize

$$\left|{c}_{1}(T(k))-{c}_{0}(k)\right|,$$

*c*_{0} is the cumulative
histogram of the input image `I`

, and
*c*_{1} is the cumulative sum of
`hgram`

for all intensities *k*. This
minimization is subject to these constraints:

`T`

must be monotonic*c*_{1}*(T(a))*cannot overshoot*c*_{0}*(a)*by more than half the distance between the histogram counts at*a*

`histeq`

uses the transformation *b*
= *T*(*a*) to map the gray levels in
`X`

(or the colormap) to their new values.

If you do not specify `hgram`

, then `histeq`

creates a
flat `hgram`

,

hgram = ones(1,n)*prod(size(A))/n;

and then applies the previous algorithm.

## Extended Capabilities

## Version History

**Introduced before R2006a**