J4 ›› 2012, Vol. 30 ›› Issue (6): 655-659.

• 论文 • 上一篇    

基于十字模板匹配的靶场目标检测方法

田澍, 段锦, 祝勇, 黄存令   

  1. 长春理工大学 电子与信息工程学院, 长春 130022
  • 收稿日期:2012-06-29 出版日期:2012-11-23 发布日期:2013-06-05
  • 作者简介:田澍(1986—), 男, 吉林白城人, 长春理工大学硕士研究生, 主要从事图像处理及智能识别研究, (Tel)86-13504423989(E-mail)tianshu_0202@126.com|段锦(1971—), 男, 长春人, 长春理工大学教授, 主要从事图像处理、 目标识别及视景仿真研究, (Tel)86-13514494485(E-mail)duanjin@vip.sina.com。

Based on Cross Template Matching Range Target Detection Method

TIAN Shu, DUAN Jin, ZHU Yong, HUANG Cun-ling   

  1. College of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China
  • Received:2012-06-29 Online:2012-11-23 Published:2013-06-05

摘要:

针对现代靶场所面临的测量目标小、 距离远、 目标与背景对比度低以及匹配算法计算量大、 时间复杂度高等问题, 提出一种基于数字图像处理的靶标检测方法。该方法以十字特征直线代替模板进行粗匹配, 仅对搜索图中像素点数目较少的一段灰度区域进行匹配, 从而大大减小了计算量, 使匹配速度得到极大提高。通过CCD(Charge Coupled Device)相机采集的靶场目标序列图像进行仿真实验, 实验结果表明, 该算法匹配速度快、 较传统的灰度相关算法具有较强的鲁棒性。

关键词: 灰度变换, 灰度统计, 模板匹配, 十字模板, 形心算法

Abstract:

Based on target detection range and the distance, small test target, target and background low contrast problems, puts forward the characteristics based on linear template matching algorithm of target detection range in positioning method, in order to cross a features instead of the two dimensional linear rectangular template matching calculations, reduce the computational complexityin matching algorithm and raised the speed of the algorithm and ensure the accuracy. using the CCD(Charge Coupled Device) camera shooting range of target image sequences the simulation experiment is conducted. the experimental results show that the characteristics in straight line instead of a rectangular template matching algorithm related calculation of template, and improve the system of the target tracking guarantee the accuracy rate algorithm, and has very strong robustness.

Key words: gray transformation, gray statistics, template matching, cross template, projection algorithm

中图分类号: 

  • TP391