| 太阳耀斑图像去云方法比较研究 |
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| 引用本文： | 王 凯,李婉卿,熊 炜,邹 宇.太阳耀斑图像去云方法比较研究[J].教育技术导刊,2019,18(6):163-166. |
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| 作者姓名： | 王 凯 李婉卿 熊 炜 邹 宇 |
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| 作者单位： | 1.三峡大学 电气与新能源学院，湖北 宜昌 443000；2.广西电网钦州供电局，广西 钦州 535000 |
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| 基金项目： | 广西电网公司科技项目（0406002018030103SJ100011） |
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| 摘 要： | 由于太阳耀斑图像中地球云雾对斑迹有所干扰，故需要对太阳耀斑图像进行去云处理。针对多尺度Retinex理论与暗通道优先算法两种去云方法进行比较研究，详细介绍了两种方法的数学模型与具体算法，分别运用两种方法对太阳耀斑图像进行去云处理，并进行MATLAB仿真，根据仿真结果对两者去云效果进行评估与对比。通过图像与客观误差参数比较两种去云方法，发现暗通道优先算法在影像平均灰度、细节信息显示、图片信息量与相对清晰程度等方面均优于多尺度Retinex去云方法，其中图片清晰度提升了约16%，标准差与信息量均提升了约8%，平均灰度降低了约27%。
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| 关 键 词： | 太阳耀斑 去云处理 暗通道优先 多尺度Retinex 天文观测 |
| 收稿时间： | 2019-01-16 |
A Comparative Study of Cloud-Removing Methods for Solar Flare Images |
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| WANG Kai,LI Wan-qing,XIONG Wei,ZOU Yu.A Comparative Study of Cloud-Removing Methods for Solar Flare Images[J].Introduction of Educational Technology,2019,18(6):163-166. |
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| Authors: | WANG Kai LI Wan-qing XIONG Wei ZOU Yu |
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| Institution: | 1.College of Electrical Engineering & New Energy，China Three Gorges University，Yichang 443000，China；2.Guangxi Power Grid Qinzhou Power Supply Bureau，Qinzhou 535000，China |
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| Abstract: | Due to the interference of the earth's cloud in the solar flare image， it is necessary to remove cloud from the solar flare images. The two methods of MSR theory and dark channel prior algorithm are compared. The mathematical models and specific algorithms of the two methods are introduced in detail. Two methods are used to process the solar flare image and perform MATLAB simulation. According to the simulation results， the cloud-removing effects of the two methodsare evaluated and compared. Comparing the two methods of cloud removal by image and objective error parameters， it is found that the dark channel priority algorithm is better than the multi-scale Retinex cloud method in displaying the average gray level， detailed information display， picture information and relative clarity of the image. Among them， the picture clarity is improved by about 16%， the standard deviation and information are improved by about 8%， and the average gray level is reduced by about 27%. |
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| Keywords: | solar flare cloud removing dark channel prior MSR theory astronomical observation |
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