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mHistogram - None


mHistogram [-d] -file in.fits minrange maxrange [logpower/gaussian/gaussian-log] -out


The mViewer application makes PNG/JPEG files using FITS images as input. Part of that
processing involves analyzing the FITS files and creating a histogram that is used to
inform the transformation from pixel values to display colors/intensities. This
processing is done inside mViewer itself.

However, there are situations where it helps to have the histogram earlier. For instance,
you may have several images to process into PNGs and wish to use the same histogram-based
stretch for each one. Or you may want to generate a set of pixel values that give the
visual impression of a color bar (see mPad). Sometimes, you may just want the histogram
itself for display or analysis purposes.

The mHistogram module contains the same histogram code as mViewer but writes the results
out to an ASCII file which can then be read in by mHistogram, mPad or user programs.


-d Turn on debugging.

-file in.fits minrange maxrange [logpower/gaussian/gaussian-log]
The FITS image file; stretch range; and (optionally) stretch mode. See the mViewer
documentation for more details.

-out out.hist
Output histogram (ASCII) file.


If successful, the result is an ASCII file containing the histogram data, color table
lookup mapping, and some other information.


ERROR Too few arguments following -file flag

ERROR Image file badfile invalid FITS

ERROR Can't find HDU badHDU

ERROR Too few arguments following -out flag

ERROR No input FITS file name given

ERROR No output histogram file name given

ERROR Cannot open output histogram file.

ERROR Grayscale/pseudocolor mode but no gray image given

ERROR FITS library error

ERROR leading numeric term in 'string' cannot be converted to a finite floating point

ERROR is not a valid datatype

ERROR negative percentile

ERROR percentile context larger than 100

ERROR extra numeric term in context 'string' cannot be converted to a finite floating
point number

ERROR context 'string' contains trailing junk


mHistogram -file SDSS_r.fits -2s max gaussian-log -out SDSS_r.hist
[struct stat="OK"]

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