摘要
为满足船舶机舱视觉监测系统能够通过摄像机对机舱内的仪表读数进行准确识别,需要对摄像机所采集到的畸变图像进行校正。利用空间直线的成像特性,建立机舱图像的畸变测度目标函数,通过人工蜂群算法优化得到畸变模型参数,进而完成机舱图像的畸变校正。实际实验结果表明:基于人工蜂群算法的畸变校正方法能够对机舱视觉监测系统的畸变图像进行有效校正。
In order to achieve an accurate recognition of the meter indications from camera images in ship engine-room vision monitoring and measuring system,the distorted images obtained through cameras should be corrected.By using the imaging properties of straight line in space as the reference,an objective function of engine-room image distortion measurement is established.The artificial bee colony algorithm（ABC） is employed to obtain the optimal parameters of distortion model.Based on these parameters,the distorted images are corrected.A real case study demonstrates that this method based on ABC can effectively correct the image distortion in engine-room vision monitoring and measuring system.
出处
《中国航海》
CSCD
北大核心
2012年第4期41-44,118,共5页
Navigation of China
基金
国家自然科学基金(51249006)
福建省大学生创新实验计划(Z81120)
集美大学科研基金(Z81104)
集美大学李尚大学科建设基金(ZC2012010)
关键词
船舶、舰船工程
机舱
视觉监测
图像校正
人工蜂群算法
ship
naval engineering
ship engine-room
vision monitoring and measuring
image correction
artificial bees colony algorithm
