Open AccessMotion Attitude Analysis Method of Bullets Based on Field Shadow Image
Author(s) -
Yijie Zhou,
Hewei Gao,
Zhonghui Sun,
Zhiwang Qiao,
Changán Di
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/612/3/032038
Subject(s) - artificial intelligence , computer vision , shadow (psychology) , computer science , intersection (aeronautics) , feature (linguistics) , feature extraction , consistency (knowledge bases) , ellipse , point (geometry) , motion field , field (mathematics) , noise (video) , image (mathematics) , mathematics , engineering , geometry , psychology , linguistics , philosophy , pure mathematics , psychotherapist , aerospace engineering
Aimed at obvious interference noise of shadow images of bullet shot in outside field, and larger extraction error of bullet attitude features of shadow images and other problems, intersection point location method based on axis line and edge is adopted to extract features of bullet tip, and the method based on ellipse fitting is adopted to extract features of bullet tail in the Paper, and then extracted feature information is used to calculate motion attitude of bullets. The method can be applied to shadow image analysis of bullets under field environment well with accurate feature extraction, good consistency and high analysis precision and other features.