Open AccessShadow Image Characteristics and Feature Extraction Method of Large Caliber Projectile in Outfield
Author(s) -
Jiànróng Lǐ,
Hewei Gao,
Zhonghui Sun,
Yong Wei,
Shijun Liao,
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/677/3/032084
Subject(s) - ellipse , caliber , shadow (psychology) , artificial intelligence , computer vision , intersection (aeronautics) , feature (linguistics) , feature extraction , projectile , preprocessor , computer science , enhanced data rates for gsm evolution , geometry , mathematics , physics , engineering , mechanical engineering , psychology , linguistics , philosophy , quantum mechanics , psychotherapist , aerospace engineering
According to the shape characteristics of large-caliber projectiles in shadow photography and the characteristics of external field environment, this paper focuses on the characteristics of external field shadow imaging and proposes a method for extracting the features of outfield shadow image of large-caliber projectiles. Based on the image preprocessing, the Bullet Tip feature points are determined by the intersection of the central axis and the edge, while the bullet tail feature extraction method based on ellipse fitting. The fitting accuracy of ellipse fitting method and upper and lower endpoint method are simulated and compared. The results show that the ellipse fitting method determining the center of the target end surface is better, with the extraction accuracy of 0.44 piexl.