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利用粗集理论的声呐图像平滑
The Sonar Image Smoothing Using Rough Sets
【摘要】 保边去噪是图像平滑中的主要问题。声呐图像像素少品质恶劣,保边去噪显得尤为重要。粗糙集理论是一种新的处理含糊和不确定性问题的数学工具,它为智能信息处理提供了有效的处理技术。将基于粗集理论的均值法应用于声呐图像平滑中,给出了实验结果。结果表明这种方法具有可行性。
【Abstract】 Reducing image noise and protecting object edges in a image is a primary task in a image smoothing, and it is still an important task owing to the sonar image being bad quality. Rough Sets theory is a new mathematical tool to deal with problems on vagueness and uncertainty. It affords intelligent information processing a useful tool. The averaging method based on Rough sets was applied to the sonar image smoothing, and the demonstration was given. The results show that the method is feasible one.
- 【文献出处】 海洋技术 ,Ocean Technology , 编辑部邮箱 ,2005年02期
- 【分类号】TP391.41
- 【被引频次】1
- 【下载频次】116