I created my own version of his script, which I optimized for speed, but with far less sharpening. You just simply change them and then look at the result. It is actually quite easy to do, but figuring out which parts to use took me quite a bit of time and effort.Īs for your other question, VideoFred put all the control variables for his script at the beginning. You have to use the correct lenses in both the projector and camera dim the bulb and add an additional diffuser in he projector's light path. Instead, you point the camera directly at the Carousel lens, at point blank range. You cannot simply point the projector at a screen and then snap the result with a digital camera. I can provide a few construction details on how to do this conversion in a way that gives you good results. My Carousel/Digital Camera lashup can capture about 15-20 slides per minute. The Nikon Coolscan takes about 1.5-2.0 minutes per scan. The results, when using my old Nikon D-70 as the capture device are probably 85-90% as good as the quality of my Nikon scanner, albeit without any automatic dirt or dust removal, although that only works well on Ektachrome and doesn't really do much with Kodachrome. So, I converted a Carousel projector into a very high-quality, extremely fast scanner. I recently needed to scan 3,000 slides for a client whose dad is dying and wanted to see the slides one last time. It took me 3+ years to get through my dad's 10,000 slides. You can sell it when you are finished in order to recoup the $1,000+ cost. They don't make them anymore, but you can get them on eBay. The best way to scan them is a Nikon Coolscan scanner. We only need to ensure the uncertainty is low enough for our use-case.First, the slides. For example, where exactly along the object is the length? What if the object has layers of dust or oxidation? Fortunately, we don't need to eliminate uncertainty. When measuring with high enough precision, defining what exactly to measure becomes problematic. For example, temperature and humidity will alter the length of wood and steel. Even with a theoretically perfect tool, the objects we measure often show variation when you measure closely enough.
The most common source of uncertainty are our measurement tools. Uncertainty in our measurements with real numbers is inevitable.
This is common practice and often works well. This calculator treats all measurements as normal distributions that are independent from each other. To learn more about why uncertainty exists and how to propagate it through equations, check out the guide! This calculator derives and evaluates this expression for you. Propagates uncertainty as the standard error, δ f ( x, y.
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