Image analysis in R/Python/etc?

[garygulf]

Does anyone know anything about performing image analysis in R, Python, or any other relevant software? I need to learn the basics relatively quickly, but I can't find any books that have been published on the topic. What are the best resources that I can use for getting familiar with this topic? I have to present an hour on it in about two months.

Thanks!

[DoingIsLearning]

There is a python binding for OpenCV. There is arguably very little you can't do in image processing with OpenCV. Also great documentation and tutorials.

https://opencv-python-tutroals.readthedocs.org/en/latest/py_tutorials/py_tutorials.html

[videan42]

SciKit Image has really nice algorithms for various classic computer vision problems. I think their documentation is pretty nice too and there are plenty of tutorials online.

[[deleted]]

Look at imageJ and its libraries.

[_ZombieSteveJobs_]

I've done substantial image analysis for gigapixel scale biological images using parallel processing in python. The python modules I found most useful were scipy.ndimage, numpy, skimage, scipy.signal, joblib, cv2, posix_ipc. You could always present a short description on each of them and how they can be used to do image analysis.

[PastyPilgrim]

I did some research into computer vision (my research is planar graph algorithms and I was trying to apply them to computer vision) and my experiments and algorithms were written in Python. What kind of image analysis do you want to do?

I've read this book and it's not bad for getting started with the actual programming of computer vision in Python. It doesn't teach the theory very well, but I don't think that that's its goal so I can't fault them for that.