机器视觉在船舶监控系统虚假图像识别中的应用  

Application of machine vision in false image recognition of ship monitoring system

作　　者：郑四海[1] ZHENG Si-hai(School of Artificial Intelligence,Jianghan University,Wuhan 430056,China)

机构地区：[1]江汉大学人工智能学院,湖北武汉430056

出　　处：《舰船科学技术》2022年第22期170-173,共4页Ship Science and Technology

基　　金：湖北省教育厅教学研究项目(2018308)。

摘　　要：船舶机舱监控系统利用视频图像采集装置,对机舱内关键设备的运行状态、工作人员的活动等进行实时监控。监控系统的关键技术是进行机舱监控视频图像的处理,剔除虚假图像信号,提取能够表征舰船机舱设备、人员工作状态的信息。本文将重点放在舰船监控系统的虚假图像识别中,充分利用计算机视觉技术从图像的前处理、后处理、虚假图像提取等方面进行详细研究。The ship engine room monitoring system uses a video image acquisition device to monitor the operation status of key equipment in the engine room and the activities of staff in real time.The key technology of the monitoring system is to process the engine room monitoring video images,eliminate false image signals,and extract information that can represent the working status of the ship engine room equipment and personnel.This paper focuses on the false image recognition of ship monitoring system,and makes full use of computer vision technology to carry out a detailed study from the aspects of image pre-processing,post-processing,false image extraction,etc.

关 键 词：机器视觉 监控系统 图像识别 

分 类 号：U634.58[交通运输工程—船舶与海洋工程]