How Can You Measure Radius Distortion in a Shattered Wineglass Using Resonance?

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SUMMARY

The discussion focuses on measuring radius distortion in a shattered wineglass using resonance techniques. Participants suggest using ImageJ, a free software tool, to set scale and measure distances in images. However, challenges remain in accurately quantifying the radius distortion. Alternative methods, such as using scale paper and strategically placed cameras, are proposed for improved measurement accuracy.

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  • Familiarity with ImageJ software for image analysis
  • Understanding of resonance principles in physics
  • Basic knowledge of geometric measurements
  • Experience with video analysis techniques
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  • Explore advanced features of ImageJ for precise measurements
  • Research techniques for video analysis in physics experiments
  • Learn about resonance frequency and its effects on materials
  • Investigate methods for creating accurate scale references in images
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Physics students, researchers in material science, and anyone interested in experimental measurement techniques related to resonance and distortion analysis.

djandrey_m
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Homework Statement


We shattered a wineglass using resonance. We also filmed the radius distortions here:
http://www.youtube.com/watch?v=HpcXf906wPw&feature=channel_page

We also filmed it shattering here:
http://www.youtube.com/watch?v=45agipT91Vw&feature=channel

How do we measure how much the radius of the rim distorts?


2. The attempt at a solution

I got this free software Imagej, one can use it to set scale and measure distances in images. And do many other things. But I still can't figure out how to measure the amount of radius distortion. Anybody got any simpler and/or better ideas?
 
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Please help me on this. I guess I could use the primitive method of sticking a ruler to the screen and measuring the change in radius.
 
The best way would to have put some scale paper or something around the glass and then had cameras as specific locations such you could have measured from the paper.

Now it's going to be a tough realistic approximation.
 

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