摘要
针对水面最基本的晴天、夜晚和浓雾天气情况,设计了对应天气模式下船只图像的滤波处理以及对可疑船只进行定位的方案。对三种不同模式进行对应的高斯滤波、拉普拉斯图像增强和图像去雾处理,为船只定位提供了更好的图像质量。提取船只的轮廓特征并对轮廓点采用RDP(Ribosomal Database Project)算法进行特征点数的精简。根据提取的特征绘制船只位置并进行标定,提取中心点位置,完成定位。研究表明,夜晚模式下,图像灰度整体较低,本文方案对提高图像对比度有一定效果。Retinex算法对图像去雾提供了可行的处理方案。通过特征提取进行船只定位也有很好的实践效果。
In view of the most basic sunny days,night and dense fog weather conditions,corresponding filtering of ship images and a scheme for positioning suspicious ships are designed.Gaussian filtering,Laplace image enhancement,and image dehazing are applied to the three different models,which provide better image quality for further ship positioning.The contour feature of the ship is extracted and the number of feature points is reduced by the RDP（Ribosomal Database Project）algorithm.The location of the ship is drawn and calibrated according to the feature extracted.The position of the central point can be extracted.The results show that the gray level of the image is low in the night mode,and the scheme proposed helps to improve the image contrast.The Retinex algorithm provides a feasible scheme for image dehazing.Feature extraction for ship positioning also has a good practical effect.
作者
姚红兵
黄印
卞锦文
李航宇
王成
Yao Hongbing;Huang Yin＊;Bian Jinwen;Li Hangyu;Wang Cheng(College of Mechanical Engineering,Jiangsu University,Zhenjiang,Jiangsu 212000,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2018年第8期249-254,共6页
Laser & Optoelectronics Progress
基金
江苏省普通高校专业学位研究生实践创新计划(SJLX16_0430)
江苏省产学研联合创新基金(BY2014123-06)
关键词
图像处理
船只定位
复杂天气
图像增强
特征提取
滤波
Retinex算子
image processing
ship positioning
complex weather
image enhancement
feature extraction
filtering
Retinex operator
