MAHE
Section: User Commands (1)
Updated: 8/30/91
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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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