IOE OpenIR  > 自适应光学技术研究室(八室)
Department自适应光学技术研究室(八室)
Telescope images segmentation with OTSU method
Li, Min1,2,3; Zhang, Ang1,2; Xian, Hao1,2
Source PublicationProceedings of SPIE 10838 - 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies
Volume10837
Pages108370R
2019
Language英语
ISSN0277-786X
DOI10.1117/12.2507348
Indexed ByEi
EI Accession Number20190506432467
Subtype会议论文
AbstractThe 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. © 2019 SPIE.
EI KeywordsBinary images - Gaussian noise (electronic) - Image quality - Manufacture - Mirrors - Optical testing - Telescopes
Conference Name9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, AOMATT 2018
Conference DateJune 26, 2018 - June 29, 2018
Conference PlaceChengdu, China
EI Classification Number537.1 Heat Treatment Processes - 723.2 Data Processing and Image Processing - 741.3 Optical Devices and Systems
PublisherSPIE
Citation statistics
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/9139
Collection自适应光学技术研究室(八室)
Corresponding AuthorZhang, Ang
Affiliation1.Key Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu; 610209, China;
2.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China;
3.University of Chinese Academy of Sciences, Beijing; 100049, China
Recommended Citation
GB/T 7714
Li, Min,Zhang, Ang,Xian, Hao. Telescope images segmentation with OTSU method[C]:SPIE,2019:108370R.
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