Using Hugin to stitch microfilm scans

[Benjamin Kalish]

I'm brand new to Hugin and am trying to use it to stitch microfilm scans together. I feel certain the result could be better—what can I do to get better output?

I've attached my pto file and the output from my most recent attempt.

Thanks!

[Gunter Königsmann]

Basically for stitching flat items you must

- tell hugin that every scan was made with a different lense (which allows that lense to start at a different position)
- make sure that you exclude eventual black bars at the end of the scanned area using masks
- and then tell hugin to optimize only the parameters that actually make sense.

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Sent from my Android device with K-9 Mail. Please excuse my brevity.

[Frederic Da Vitoria]

I guess setting the Control points manually or at least checking carefully those automatically generated would help too.

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Frederic Da Vitoria
(davitof)

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[Benjamin Kalish]

I did my best to follow the instructions at http://hugin.sourceforge.net/tutorials/scans/en.shtml

All my control points were selected by hand. I don't know how to get automatically generated ones, and I don't expect it would work very well. These are very low quality images—1-bit black and white images downscaled and converted to grayscale.

I wasn't sure how many control points to use—this tutorial said more is better, but I feel like I have read conflicting advice.

The preview window always showed something tiny and unintelligible so I mostly ignored it. I'm not sure what was wrong there. I'm on Mac OS running Hugin 2019.2.0.b690aa0334b5 if that is helpful

[Bruno Postle]

The problem is that somehow the pitch and yaw of the images was set.
Possibly you used the Drag tool to centre the image, but this will
make a mess of scanned images - where pitch and yaw need to be set
to zero. The Drag tool has a 'mosaic' mode for this, it will switch
to changing the X and Y positions rather then the yaw and pitch.

Attached a version of your project with the pitch and yaw reset to
zero and with X and Y reoptimised, this should give better results.

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Bruno

[Benjamin Kalish]

Thank you, Bruno, that is infinitely better!