Dr. Min Li Profile

Dr. Min Li

at Institute of Optics and Electronics

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Proceedings Article | 11 January 2019 Paper

Telescope images segmentation with OTSU method

Min Li, Ang Zhang, Hao Xian

Proceedings Volume 10837, 108370R (2019) https://doi.org/10.1117/12.2507348

KEYWORDS: Image segmentation, Telescopes, Device simulation, Optical alignment, Optical instrument design, Monochromatic aberrations, Mirrors, Signal to noise ratio, Adaptive optics, Image processing

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The optical alignment of telescopes is essential to satisfy the high request of image quality. One of the most easy and efficient approaches to correct the misalignments is based on the far-field images in the focal plane by maximizing sharpness metrics. To analyze the aberrations corresponding to different fields and various working conditions of telescopes, the image segmentation becomes an indispensable process. After image segmentation, aberrations can be studied in detail. What’s more, it can also simplify the calculation. In this paper, OTSU method based on one-dimension histogram is adopted to segment the telescope images. First, images corresponding to different fields of the telescope in both designed and misaligned working conditions are simulated. Second, these images are segmented by the OTSU method to obtain a series of binary images. To verify the anti-noise capability of this method, noise images are simulated by adding Gaussian noise with different standard deviations. These noise images are also segmented by OTSU method. Then, edge checks are carried out to compare the segmentation results of noiseless images with noise images. The results indicate that for noiseless images and noise images simulated in designed working condition, the segmentation processes are accurately, while for noise images simulated in misaligned working condition, the segmentation results are influenced by noise.

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