Paper
24 October 2016 Spot detection based on the Hartmann subaperture
Author Affiliations +
Proceedings Volume 9682, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes; 96820K (2016) https://doi.org/10.1117/12.2243973
Event: Eighth International Symposium on Advanced Optical Manufacturing and Testing Technology (AOMATT2016), 2016, Suzhou, China
Abstract
For large astronomical telescope system based on adaptive optics(AO), the correcting ability of the wavefront processor in real time is the critical factor to the target observation. However, when we are observing the faint-target, it will lead to the uneven energy distribution of the spot in the Hartmann sensor, even no spots in some of the sub-apertures. However, whether to control the adaptive optical system to close loop is mainly dependent upon the distribution of spot in the microlens of Hartmann sensor, so it is necessary to detect the existence of the sub-spot in the Hartmann sub-aperture. This paper presents an improved approach based on template matching and threshold processing to detect the sub-spot, it could judge whether there is spot in sub-aperture self-adaptively, then, we provide an intelligence foundation for adaptive optical system. In this paper, not only do we give the detailed implementation of the detection algorithm, but also test it with the reality observed images. The experimental results have shown that the proposed approach in the paper could accurately detect whether there is spot in Hartmann sub-aperture.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhongfeng Chen and Luchun Zhou " Spot detection based on the Hartmann subaperture", Proc. SPIE 9682, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 96820K (24 October 2016); https://doi.org/10.1117/12.2243973
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KEYWORDS
Target detection

Signal to noise ratio

Image processing

Digital filtering

Image filtering

Detection and tracking algorithms

Adaptive optics

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