What is your typical image processing usecase?

Image processing is used for a variety of applications, from the segmentation of organs in medical imaging to the detection of objects in astrophysics. At least, that's what we say to introduce the applications of image processing during presentations on scikit-image, such as today's tutorial at Euroscipy 2015. For such tutorials, we select applications that we think are typical of broad interest, such as the segmentation of objects. But let's face it, it is all too easy to mix up what is typical and of broad /generalinterest, and what is the kind of problems that ones encounters in his/her own work.

Therefore, I would love to hear more about typical problems that people wish to solve using image processing. If you're using image processing, please leave a comment on this post, including:

• a few words about the field and the application
• a link to a typical image, if possible
• the problem that you are trying to solve
• and optionally, the typical building blocks of your image processing workflow (contrast enhancement, denoising, edge filtering, etc.).

Thank you very much for your time, and for any comment that you might share on how you use image processing. I'm interested in your thoughts whether you're already a scikit-image user. Of course, feedback on how you use scikit-image will be extremely interesting if you are a user.

Beyond to contributing to my own enlightement, this survey will hopefully help us to design tutorials that are even more meaningful to a broad audience, write better documentation and more examples for the gallery, and maybe add some new features to the package, if there is a broad interest for features that are missing and in the scope of the package.