This is the command mHistogram that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator
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.
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
ERROR context 'string' contains trailing junk
mHistogram -file SDSS_r.fits -2s max gaussian-log -out SDSS_r.hist
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