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Pixinsight help - Cannot register 1 image to another


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I have no idea what Im doing wrong!  I have 2 images, both of them 4 image mosaics - one in Ha and one in O3.  Im trying to register the O3 to the Ha file, so in Star Alignment, I select the HA Mosaic and in target I select the O3 Mosaic, I have it set to register/match images....  I select an output directory and click apply.  No file is written to the output directory but an image appears on screen, the on screen image is not aligned though and when I look in the output console, it appears to have done nothing!  What am I doing wrong, this is driving me nuts, been at it for over an hour!!!

 

StarAlignment: Processing view: Ha

Loading reference image:

D:/WitchesBroom/Ha Mosaic/Stacks/HAMosaic.xisf

Loading image: w=8290 h=6310 n=1 Gray Float64

D:/WitchesBroom/Ha Mosaic/Stacks/HAMosaic.xisf:

Structure map: done

Detecting stars: done

81189 stars found.

Ha:

Structure map: done

Detecting stars: done

81189 stars found.

* Reference image: Limiting to 2000 brightest stars.

* Target image: Limiting to 2000 brightest stars.

Matching stars: done

2000 putative star pair matches.

Performing RANSAC: done

2000 star pair matches in 4 RANSAC iterations.

* Summary of model properties:

Inliers : 1.000

Overlapping : 1.000

Regularity : 0.996

Quality : 0.999

Root mean square error:

delta_RMS : 0.000 px

RMS error deviation:

sigma_RMS : 0.000 px

Peak errors:

delta_x_max : 0.000 px

delta_y_max : 0.000 px

* Projective transformation matrix:

+1.000000 +0.000000 -0.000000

+0.000000 +1.000000 -0.000000

+0.000000 +0.000000 +1.000000

translation : 0.00 px

translation_x : -0.00 px

translation_y : -0.00 px

rotation : -0.00 deg

scale : 1.0000

scale_x : 1.0000

scale_y : 1.0000

Generating registered image: Ha_registered

Homographic Projection / Lanczos-3 interpolation, c=0.30: done

Registration successful.

23.669 s

 

Mosaic.JPG

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Are you sure you’re not aligning on hot pixels? Try increasing the noise reduction levels and noise scale/layers. Or, post the two images here, to let us have a go at it. Seeing the real data is always better than trying to guess what may have gone wrong.

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