大型舰船尾迹图像对比度特征提取方法
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摘要
现有舰船尾迹图像对比度特征提取方法普遍存在运算复杂、处理速度慢等问题。易导致舰船尾迹区域图像与海水背景区图像出现较大差异。为解决上述问题,提出通过边缘图像特征提取方法对图像灰度对比参数特征进行提取的方法,结合人眼视觉特性的主观体验与客观对比强度评价方法进行船舶尾迹图像创新优化。利用图像边缘特征提取方法进行仿真实验。实验结果表明,通过边缘图像特征提取方法对图像灰度对比参数特征进行提取和处理可有效提高船舶图像对比度特征提取的准确性,对船舶尾迹图像进行更加清晰的展现。
The existing methods of ship wake image contrast feature extraction generally have the problems of complex operation and slow processing speed. It is easy to cause the ship wake area image and the sea background area image appear big difference. In order to solve the above problems, this paper proposes an edge image feature extraction method to extract the gray scale contrast parameter features of the image, combined with the subjective experience of human visual characteristics and objective contrast intensity evaluation method to optimize the ship wake image innovation. Simulation experiments are carried out by using the method of image edge feature extraction. The experimental results show that the method of edge image feature extraction can effectively improve the accuracy of ship image contrast feature extraction and show the ship wake image more clearly.
The existing methods of ship wake image contrast feature extraction generally have the problems of complex operation and slow processing speed. It is easy to cause the ship wake area image and the sea background area image appear big difference. In order to solve the above problems, this paper proposes an edge image feature extraction method to extract the gray scale contrast parameter features of the image, combined with the subjective experience of human visual characteristics and objective contrast intensity evaluation method to optimize the ship wake image innovation. Simulation experiments are carried out by using the method of image edge feature extraction. The experimental results show that the method of edge image feature extraction can effectively improve the accuracy of ship image contrast feature extraction and show the ship wake image more clearly.
引文
[1]李正超,邵波,魏训虎.基于物联网技术的配电通信接入网光缆运维管理系统[J].通信与信息技术,2016,25(1):74-76.
[2]吴信文,周唯逸,徐钰栋,等.基于物联网技术的住宅配电设施运维自动化系统[J].农村电气化,2017,87(11):43-45.
[3]徐凌云,房红兵.基于方位向模糊区位置去除虚假船的检测方法[J].电子设计工程,2017,25(23):73-76.
[4]李献伟,王伟.基于物联网的随机性电源即插即用运维技术方案研究[J].电力系统保护与控制,2016,44(16):112-117.
[2]吴信文,周唯逸,徐钰栋,等.基于物联网技术的住宅配电设施运维自动化系统[J].农村电气化,2017,87(11):43-45.
[3]徐凌云,房红兵.基于方位向模糊区位置去除虚假船的检测方法[J].电子设计工程,2017,25(23):73-76.
[4]李献伟,王伟.基于物联网的随机性电源即插即用运维技术方案研究[J].电力系统保护与控制,2016,44(16):112-117.