MAHE

Section: User Commands (1)
Updated: 8/30/91
Index Return to Main Contents
 

NAME

mahe - "clipped" adaptive histogram equalization  

SYNOPSIS

mahe [-rrxry][-cf][-WWxWy] < infile > outfile  

DESCRIPTION

mahe is an implementation of the Pizer Adaptive Histogram Equalization algorithm. This algorithm is a form of adaptive contrast enhancement used for the display of images which have an intrinsic data range larger than the capabilities of a display device. mahe also performs well as an edge enhancement technique.

Clipping the histogram limits the effects of noise in the histogram equalization process. The -c option specifies the amount of "clipping" to be done.

Input images must be in HIPS format.

 

OPTIONS

Options may appear in any order. -r and -W cannot be used together.

-r rx ry
Positive integers which specify the number of regions in the x and y directions. The default value is 4 for both x and y.
-W wx wy
Positive integers which specify the size of the region. This is the same thing as dividing the image dimension by the window dimension and using the result int -r.
-c f
Positive floating point number (>= 1.0) which is used to limit the number of pixels in any bucket of the histogram. An average number of pixels for all grey levels is computed, and the user specified number is used to scale this average. This scaled number becomes the maximum count in the histogram used to calculate the ahe mapping. A good starting value is 5, and smaller numbers cause more limiting.
-h
List options.

 

AUTHOR

Original Program: John B. Zimmerman
Modification: Phil Amburn
Modification: Robert Cromartie
Renamed by: John Gauch
Modification: Michael McGuffey
UNC Department of Computer Science
Modification: Max Rible
Lawrence Berkeley Laboratory, Information and Computing Sciences
Modification: David Robertson
Lawrence Berkeley Laboratory, Information and Computing Sciences

 

BUGS

Report to Cromartie.


 

Index

NAME
SYNOPSIS
DESCRIPTION
OPTIONS
AUTHOR
BUGS

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Time: 01:45:41 GMT, December 05, 2024