AutoDev is indeed showing that the Wipe wasn't wholly successful because the background is too irregular.
When the background is very irregular (for example due to noise as seems to be the case here), then Wipe will be 'scared off' when trying to figure out what the true background value is - if it encounters a pixel that is much darker (due to noise or due to a dead pixel on your CCD) aka a 'Dark Anomaly', it will assume that that pixel is real information and will calibrate against that pixel.
There are a number of ways to make Wipe perform better in the face of Dark Anomalies.
The first way is the 'Dark Anomaly Filter', which does exactly what it says on the tin

The second way is to create a mask that masks out any dark anomalies. This is useful if you have any dark dust donuts in your image.
The third way is to make sure noise is greatly reduced in the first place before handing over your image to Wipe.
From the screenshot I can tell the resolution of your image is way too high for the detail that is actually captured. i.e. real detail is smeared out over multiple pixels (due to seeing, your scope's resolving abilities and/or focusing). Fortunately there is a way to make use of the 'useless' resolution; by binning multiple pixels into a single pixel, you can reduce uncertainty (noise) in your signal. By binning exactly at the amount where detail and resolution meet (i.e. where 1 pixel contains exactly 1 unit of resolution), you do not lose any detail, but you do gain fidelity.
The latter will greatly help with your processing and using modules such as Wipe.
Do upload your image - I'd be more than happy to do a personalised tutorial!
EDIT: I should also say that if AutoDev doesn't yield any usable results despite your best efforts, you can always 'go manual' using the Develop module!