摘要
全景成像系统相对于常规成像系统,具有视场大、旋转不变性等特点。将舰船上搭载全景成像系统,然后利用图像处理技术,可出色完成广阔海域下的目标检测。论文提出了一种基于舰船全景成像系统的海上目标检测算法,包括基于显著性检测的设备干扰区域提取、圆形海天线检测和目标检测三部分。在对现有算法进行研究、分析与比较的基础上提出本文算法,并以Visual C++与OpenCV计算机视觉库为平台,验证了算法的有效性。
Compared with conventional imaging system,panoramic imaging system has the characteristics of large field of view and rotation invariance. The detection of the target in the vast sea area can be accomplished by carrying the panoramic imaging system on the ship and using the image processing technology. In this paper,a sea target detection algorithm based on ship panoramic imaging system is proposed,which includes three parts:the extraction of equipment disturbance area based on saliency detection,the extraction of circular sea antenna and the detection of target. The algorithm is proposed based on the research,analysis and comparison of existing algorithms. Using Visual C++ and OpenCV computer vision library as the platform,the effectiveness of the algorithm is verified.
作者
耿嘉
孙超
GENG Jia;SUN Chao(The 723^th Institute of CSIC,Yangzhou 225001)
出处
《舰船电子工程》
2020年第7期35-38,45,共5页
Ship Electronic Engineering
关键词
舰船全景成像系统
目标检测
图像处理
ship panoramic imaging system
target detection
image processing
