Level 2 Help for MORPH

There are three input files.
File#1: This is the left or first input image given to
        program TRACKER or TRACKER2. 
File#2: This is the right or second input image given to
        program TRACKER. 
File#3: This is the MARK file written by program TRACKER.
        It is 'REAL' format with 512 byte records containing
        pairs of tiepoints in the order:
        left_line,left_samp,right_line,right_samp.

The number of output images produced. Outputs are the same size
as inputs. output morphs are spaced equally between the two input
images. Thus if there were 3 output images then they would be spaced
at 1/4, 1/2, and 3/4 of the way between the two input images.
The format of the output is the same as the input.

The starting number of the first output frame. Normally you would
not specify START and it would default to 1.  In the event that the
program were aborted in mid run you could restart it where you left off
by setting START=n where n was the output frame number which was the
first missing output frame (missing because the job was cancelled).
Thus if 5 outputs were desired and only two were created then you
could restart the job USING IDENTICAL PARAMETERS AS BEFORE but
adding START=3.

The prefix for the output file names.
If you specify name=abc and if frames=3 for example then the three
output files will be called (in order left to right):
abc1.img abc2.img and abc3.img  .

The grid interval in pixels in the output image. At each grid intersection
a polynomial is fit to the nearest 4 tiepoints to perform a geom mapping
from the morph to the first and second input images. 
One tiepoint is selected from each of the 4 quadrants. INC should be
less than the tiepoint grid spacing but not much less than half of it
for efficiency .

Number of  points used at each grid intersection to fit a surface
linking the morph to the left and right images geometrically.
The range is 4 to 20.  If npts=4 then an exact fit is made and no
extrapolation beyond the point array is permitted. Lerger values
permit a least squares fit with inverse distance weighting and
supports extrapolation.

Only use left image to compute the output images. This converts the program 
into a geom operation in which the left image is moved towards the right image.
The right input image is ignored.