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Thomas Provoost
27 Feb 2013 11:13

Adaptive histogram equalization

by Sorin Pop

The adaptive histogram equalization implements the Contrast-Limited Adaptive Histogram Equalization (CLAHE) [1] for 2D, 3D or 4D sequences (gray or color).
The java code was adapted from the ImageJ implementation by Stephan Saalfeld [2].

References:
[1] Zuiderveld, Karel (1994), "Contrast limited adaptive histogram equalization", Graphics gems IV, Academic Press Professional, Inc., pp. 474–485
[2] http://rsbweb.nih.gov/ij/plugins/clahe/index.html

Publication Id
ICY-Q9Q9S1
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Documentation


Parameters :
Type : sets the processing type (2D, multi2D or 3D)
No.bins: number of bins.
Half size XY : the half size of the window, where the histogram equalization takes place.
Half size Z : Half size in depth of the 3D window (used for 3D process)
Maximum slope: parameter which manage the power of equalization. A greater slope will give a more contrasted sequence.

Output: UBYTE sequence