We developed and applied a computer analysis method to detect ring galaxy candidates in the first data release of PanSTARRS. The method works by applying a low-pass filter, followed by dynamic global thresholding to search for closed regions in the binary mask of each galaxy image. Applying the method to ~3*10^6 PanSTARRS galaxy images produced a catalog of 185 ring galaxy candidates based on their visual appearance.
@article{arxiv.1706.03873,
title = {A catalog of automatically detected ring galaxy candidates in PanSTARRS},
author = {Ian Timmis and Lior Shamir},
journal= {arXiv preprint arXiv:1706.03873},
year = {2017}
}