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As with all AIPS++ applications, imager is designed to be open: all
the results are written to and read from standard AIPS++ table files.
This open design of imager also allows the user to try out new
methods of processing data. Models may be read into Glish, edited or
manipulated via standard Glish facilities, and then written out and
used subsequently in imager. Suppose that we want to halve the
Stokes I of all pixels with negative Stokes I. The following Glish
fragment does the trick:
m:=image('myimage')
shape:=im.shape()
blc:=[1,1,1,1]
trc:=[shape[1],shape[2],1,shape[4]]
a:=m.getchunk(blc,trc)
a[a<0.]*:=0.5
m.putchunk(a,blc)
m.flush()
m.close()
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2006-10-15