| 其他摘要 | Solar observation has achieved unprecedented high spatial and temporal, high spatial resolution, multi-angle and multi-band data by the development and application of new technologies. Researchers analyze these high-quality data to obtain in-depth knowledge of the sun. The images of the sun are the most important observational data because it is the easiest way to get for human visual system. Image quality will be affected by telescope, atmospheric turbulence, optical systems and other factors during the observational process of solar telescopes. Therefore, the solar image assessment is one of the important works of the solar observations. Image assessment includes subjective assessment and objective assessment. Subjective assessment has been developed in the infancy of image. The results of subjective assessment can be used as one of the criteria for objective assessment. The development and application of objective assessment is benefited from the development of computer technology. Image assessment work is not only related to the human visual system, but also covers almost the field of digital image processing, such as image acquisition, image computing, image transformation and filtering, image enhancement, image restoration and reconstruction, image segmentation, morphological image processing, wavelet transform and image multi-resolution processing. Currently, the method of objective assessment has been widely used for solar image preprocessing, solar image spatial automatic detection, the dynamic evolution of the solar eruptions, and the research of statistics, classification and analysis process. The study on solar high resolution data assessment and application mainly includes exploring suitable methods and techniques based on the application of digital image processing for solar observational images. The New Vacuum Solar Telescope in Yunnan observatories is one of the biggest solar telescopes in the world. The telescope focuses on the high resolution observations of the solar photosphere and chromosphere. The image assessment applied for high-resolution observations has four potential values. (1) Subjective assessment is applied for the analysis and study of solar observations of events based on scientists’ knowledge and experience. (2) Image assessment method is used to monitor the quality of the image for telescope control system. (3) Image assessment method can be used to locate for image processing systems and algorithms. (4) Image assessment method can be embedded into an image processing system to optimize the algorithm and parameter settings. This thesis studies the demand for the applications mentioned above, and the specific tasks include the following aspects. First, research on image assessment methods and algorithms in the field of digital image processing, and make a systematic analysis of its application for the solar high-resolution data. Second, research on an image assessment method, which is based on human visual system and image ambiguity, and used for solar high resolution data processing of NVST. Third, research on the current image processing methods and its application for solar observation, and make a systematic summary and conclusion for the basic idea of image assessment during the solar image processing. Last, research on a specific widespread event of the sun by image assessment method combining with solar high-resolution data processing method, and on this basis, an automatic identification method for solar high-resolution jets/surges is given. |
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