Computer vision applications for coronagraphic optical alignment and image processing
Instrumentation and Methods for Astrophysics
2013-05-09 v1
Abstract
Modern coronagraphic systems require very precise alignment between optical components and can benefit greatly from automated image processing. We discuss three techniques commonly employed in the fields of computer vision and image analysis as applied to the Gemini Planet Imager, a new facility instrument for the Gemini South Observatory. We describe how feature extraction and clustering methods can be used to aid in automated system alignment tasks, and also present a search algorithm for finding regular features in science images used for calibration and data processing. Along with discussions of each technique, we present our specific implementation and show results of each one in operation.
Cite
@article{arxiv.1305.1916,
title = {Computer vision applications for coronagraphic optical alignment and image processing},
author = {Dmitry Savransky and Sandrine J. Thomas and Lisa A. Poyneer and Bruce A. Macintosh},
journal= {arXiv preprint arXiv:1305.1916},
year = {2013}
}
Comments
24 pages, 8 grayscale figures