In which case the question would be the wrong one to ask. It doesn't really matter which logo people "prefer" - their personal aesthetic taste has nothing to do with an effective logo (well, assuming your logo isn't goatse).
It would be more effective to ask people what descriptors they'd use to describe the company behind the logo, using a fictional company name.
Goodrich ISR sensor equipment has been able to do this for a while regardless of the type of plastic for the purpose of quality control in product containers:
http://www.sensorsinc.com/image_powderswirenlarge.html ... "While a visible camera cannot see through plastics, these same plastics are transparent with the short wave infrared. Goodrich ISR-P cameras can see through plastic to detect the fill level of a product. This capability is extremely helpful in quality control and process control applications."
It's certainly related. The difference here is that 1) they're comparing output of multiple systems, rather than looking for obviously erroneous behavior of one (segfaults, memory leaks, failed assertions); and 2) the input data is all correct - fuzzing (per my understanding) usually implies tossing bad data in to see if the system breaks (frequently just slightly bad data is more interesting than complete garbage, but either falls under "fuzzing").
This kind of coinage is a rather large rabbit hole! Once upon a time in 1963, someone asked: what happens if you take the Fourier transform of a Fourier transform? Well, a Fourier transform gives you a spectrum, so let's call a Fourier transform of that, a new concept called a cepstrum. So what are its bins, analogous to frequency bins? Let's call them quefrency bins, and the cepstrum is therefore a quefrency cepstrum. What's the operation when you modify quefrencies in the cepstrum in some manner other than uniformly, analogous to how one might run a frequency spectrum through a frequency-domain filter? Why, liftering, of course.
in case anyone else is confused - it (a cepstrum) is the ft of the log of the modulus of an ft. the ft of an ft is the original signal.
https://en.wikipedia.org/wiki/Cepstrum
If you remember the great HN "iOS is faster; you're wrong because Android isn't slow" debate of a few months back, the primary reason that android runs slower than you'd expect is that apps have absolutely no access to each other's frame buffers. Apps can't take screen shots of other apps (for exactly this reason)