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舰船尾迹图像的对比度特征提取方法

迟卫 高占胜 陈明荣 谢田华

中国舰船研究Issue(2):95-100,6.
中国舰船研究Issue(2):95-100,6.DOI:10.3969/j.issn.1673-3185.2014.02.017

舰船尾迹图像的对比度特征提取方法

Extraction Method for the Contrast Features of Ship Wake Images

迟卫 1高占胜 1陈明荣 1谢田华1

作者信息

  • 1. 海军大连舰艇学院航海系,辽宁大连116018
  • 折叠

摘要

Abstract

It is an essential fundamental to evaluate the ship wake image's quality quantitatively and effec-tively,and to achieve the extraction of ship wake's optical signal characteristics rapidly in today's ship op-tics-wake elimination technologies. The method regarding quality evaluation of ship wake images is stud-ied in this paper based on the contrast model. By analyzing the characteristics of the obvious contrast be-tween the wake area and the seawater background area in ship wake images,this paper uses the contrast parameter as an critical index for the wake image quality evaluation process as well as the characterization of ship wake's optical signal characteristical strength. Specifically,in order to evaluate the actual quality of ship wake images,the weighting factors on both wake areas and seawater background areas are intro-duced,and the basic contrast calculation model is improved. This model fully considers the human visual characteristics and combines the subjective and objective evaluation methods comprehensively. A corre-sponding experiment is also conducted,which particularly focuses the maritime feature extraction. The re-sults show that the contrast parameters do not only reflect the subjective visual perception of human eyes on the wake images' actual quality,but also better reflect the application essence of the wake image pro-cessing. In brief,the contrast parameters reliably and quantitatively describe the intensity's changing rules of the ship wake's optical signal characteristics.

关键词

图像质量评价/舰船尾迹/光学信号特征/对比度/加权因子

Key words

image quality assessment/ship wakes/optical signal feature/contrast/weighting factors

分类

信息技术与安全科学

引用本文复制引用

迟卫,高占胜,陈明荣,谢田华..舰船尾迹图像的对比度特征提取方法[J].中国舰船研究,2014,(2):95-100,6.

中国舰船研究

OA北大核心CSCDCSTPCD

1673-3185

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