Video Image Clarity Algorithm Research of USV Visual System under the Sea Fog

摘要：

　　The visual system is one of the main equipment of unmanned surface vehicle (USV) autonomous navigation.Under the sea fog, atmospheric particles scattering leads to serious image degradation of the visual system.Because there is obvious sea-sky-line and the larger sky area in the image of offshore, so firstly, the image segmentation is done to get sky area, and through anglicizing sky area characteristics, the sky brightness is estimated, and then a simplified physical model of atmospheric scattering is built up, lastly image scene recovery is finished.Thinking about using this simple image defogging method to video image, foreground and background separation is done.Comparative research with several defogging methods onshore, results show that the proposed method can enhance the video image clarity of the USV visual system under sea fog very well.This research brought a good foundation to further improve the accuracy and precision of surface target identification and tracking algorithm.

关键词： Sea fog USV image segmentation atmospheric scattering image clarity

作者: Zhongli Ma Jie Wen Xiumei Liang

作者单位: College of Automation, Harbin Engineering University,150001 Harbin, China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 436-444

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）