| 渔场夜间监控系统图像去噪算法 |
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| 引用本文： | 彭波 孙一林 崔永普. 渔场夜间监控系统图像去噪算法[J]. 农业机械学报, 2005, 36(10): 97-100 |
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| 作者姓名： | 彭波 孙一林 崔永普 |
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| 作者单位： | [1]中国农业大学信息与电气工程学院教授、博士,北京市100083 [2]北京师范大学信息科学与技术学院副研究员,北京市100875 [3]中国人民健康保险股份有限公司工程师,北京市100032 |
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| 摘 要： | 针对渔场监控系统中夜间监控图像存在大量噪声的情况，分析了图像主要噪声源，并通过仿真试验分析了各种常见的图像去噪算法，在综合考虑图像去噪平滑效果、图像的清晰程度及图像去噪时间复杂度的基础上，提出了将数学形态学方法和中值滤波方法相结合用于数字监控系统的图像去噪算法。通过试验验证了本算法的可行性、实时性和鲁棒性。
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| 关 键 词： | 渔场 图像去噪 数学形态学 中值滤波 |
| 收稿时间： | 2004-06-02 |
| 修稿时间： | 2004-06-02 |
Implementation of Denoise Algorithm for Fishery Monitoring System |
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| Peng Bo;Sun YiLin;Cui YongPu. Implementation of Denoise Algorithm for Fishery Monitoring System[J]. Transactions of the Chinese Society for Agricultural Machinery, 2005, 36(10): 97-100 |
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| Authors: | Peng Bo Sun YiLin Cui YongPu |
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| Affiliation: | 1.China Agricultural University 2.Beijing Normal University 3.PICC Health Insurance Company Limited |
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| Abstract: | Because of the night noise in the monitor images, the quality of images is bad and the night monitor video stream is much bigger than that of the day. This paper analyzed the main noise sources in the situation of night monitoring. A denoise method, combining mathematical morphology with median filter, was designed after balancing image smoothness, clearness and time complexity through the experiments of common denoise algorithms. It confirmed that the algorithm is feasible, real-time and robust by contrasting the experimental data from the Breeding Corporation in Hebei Province. |
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| Keywords: | Fishing ground Digital image denoise Mathematical morphology Median filter |
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