摘要
依据机器视觉原理,构建了基于人工干预与机器视觉的弹丸弹道轨迹识别方法,方法融合了人工选择、边缘矩匹配和知识推理。用该方法对高炮实际射击录像进行了试验分析,获得了弹道轨迹,验证了方法的可行性。
Based on machine vision principle, we proposed a new method for recognizing pill track of anti-air-craft guns by using artificial intervention and machine vision together. The method combined artificial selection, edge moment matching and knowledge consequence together. We used this method for analyzing a piece of anti- aircraft gun shooting kinescope, and obtained the track of pills, which proved that the method is feasible.
出处
《电光与控制》
北大核心
2008年第7期48-51,共4页
Electronics Optics & Control
基金
空军装备预研项目(06KZ3C1-0006)
关键词
高炮
防空
弹丸轨迹
机器视觉
识别
anti-aircraft gun
air defence
pill track
machine vision
recognition
