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基于视频图像处理的弹孔检测提取算法研究

柳华林 姚立波 张立民 黄友澎 王海鹏

舰船电子工程2019,Vol.39Issue(8):116-120,143,6.
舰船电子工程2019,Vol.39Issue(8):116-120,143,6.DOI:10.3969/j.issn.1672-9730.2019.08.029

基于视频图像处理的弹孔检测提取算法研究

Bullet Holes Detection and Extraction Algorithm Based on Video Image Processing

柳华林 1姚立波 1张立民 1黄友澎 2王海鹏1

作者信息

  • 1. 海军航空大学 烟台 264001
  • 2. 武汉数字工程研究所 武汉 430074
  • 折叠

摘要

Abstract

In this paper,the main problems and bullet hole characteristics of bullet holes detection in target video are studied in depth. A region binarized bullet hole coarse detection algorithm is proposed to realize the detection and extraction of all the bullet holes in current video frame based on video image processing. And the detection and extraction algorithm of a bullet hole at the cur?rent moment based on the visual model is designed to effectively solve the constraint problems such as the unsatisfactory shape of bullet holes in the real environment and accurately realize the detection and extraction of all bullet holes one by one in the target vid?eo by using video spatiotemporal characteristics and bullet hole characteristics fusion. Experiments show that the proposed algorithm is accurate,effective and has good universality and timeliness.

关键词

视频时空特性/弹孔特性融合/视觉模型/检测提取

Key words

video spatiotemporal characteristics /bullet hole characteristics fusion/visual model/detection and extraction

分类

信息技术与安全科学

引用本文复制引用

柳华林,姚立波,张立民,黄友澎,王海鹏..基于视频图像处理的弹孔检测提取算法研究[J].舰船电子工程,2019,39(8):116-120,143,6.

基金项目

国家自然科学基金重大研究计划(编号:91538201) (编号:91538201)

泰山学者工程专项经费(编号:Ts201511020)资助. (编号:Ts201511020)

舰船电子工程

OACSTPCD

1672-9730

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