摘要
针对基于视频的数字式仪表数据采集中仪表类型的多样性和示值判读的复杂性,设计了一套完整的仪表示值自动判读算法,采用多种自适应算法和协同模式识别算法有效地保证了算法的自动化程度和结果的准确性。实验表明,该算法自动化程度高,判读准确。具有较强的实用性。
Aiming at the diversity of apparatus kinds and the complexity of recognition in the digital apparatus data collection based on video, an auto-recognition arithmetic was studied, which introduced some auto-adaptive arithmetic and cognition network. These arithmetic assured the automation and precise of this method. Experiment results indicated that this arithmetic is practical .
出处
《微计算机信息》
北大核心
2006年第04S期191-193,共3页
Control & Automation
基金
国防"十五"预研项目基金资助(编号不公开)
关键词
数字式仪表
自动判读
协同学
模式识别
digital apparatus
auto-recognition
cognition
pattern recognition
