低空目标的多级图像投影检测方法

doi:10.11772/j.issn.1001-9081.2014.11.3332

计算机应用 ›› 2014, Vol. 34 ›› Issue (11): 3332-3335.DOI: 10.11772/j.issn.1001-9081.2014.11.3332

低空目标的多级图像投影检测方法

张宇,王晓燕

西安建筑科技大学机电工程学院,西安 710055;

收稿日期:2014-05-20 修回日期:2014-06-30 出版日期:2014-11-01 发布日期:2014-12-01
通讯作者: 张宇
作者简介:
张宇(1972-),女,陕西丹凤人,讲师,博士,主要研究方向:目标跟踪、模式识别、融合估计;王晓燕(1976-),女,河南洛阳人,副教授,博士,主要研究方向:目标跟踪、飞行控制。
基金资助:
国家自然科学基金资助项目;陕西省教育厅科研计划项目

Multi-level image projection detection algorithm for low-altitude targets

ZHANG Yu,WANG Xiaoyan

School of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China;

Received:2014-05-20 Revised:2014-06-30 Online:2014-11-01 Published:2014-12-01
Contact: ZHANG Yu

摘要/Abstract

摘要：

为解决地面背景干扰和雨天弱小目标难以检测的问题,提出一种低空目标多级图像投影检测算法。首先,分析地面背景与天空区域在图像中的分布位置以及灰度特征,根据水平灰度投影的阶跃变化将图像分割为天空区域和地面背景区域两部分;然后,由天空区域图像的水平和垂直投影一阶差分极大值截取目标所在的水平和垂直带状区域,分别计算水平带状区域的垂直灰度投影和垂直带状区域的水平灰度投影,并根据它们的一阶差分极大值点确定两组候选目标位置坐标;最后,验证获取的两组目标坐标,并计算目标位置坐标。实验结果表明:所提算法能检测出具有复杂地面背景的低空目标,也适用于雨天弱小目标的检测;该算法的速度较快,满足视频图像处理的实时性要求。

Abstract:

For solving the problems of earth surface background disturbance and small weak target detection in rain, a multi-level image projection detection algorithm for low-altitude targets was proposed. Firstly, the position and the gray characteristics of ground and sky area in the original image were analyzed, and the image was splitted into sky and ground area according to the step change of horizontal gray-level projection. Secondly, the horizontal and vertical strip areas including target were intercepted from the sky area image based on the maximum value of the horizontal and vertical projection first-order differences respectively, then the vertical gray projection of the horizontal strip area and the horizontal gray projection of the vertical strip area were calculated, as a result, two candidate target coordinates were determined by the maximum values of the horizontal and vertical projection first-order differences. Finally, the two candidate target coordinates were verified and the target coordinates were calculated. The experiment results show that the proposed algorithm can detect both low-altitude targets with complex earth surface background and small weak target in rain. In addition, this new method is fast to satisfy the requirement of real-time video image processing.

中图分类号:

TP391.4

张宇王晓燕. 低空目标的多级图像投影检测方法[J]. 计算机应用, 2014, 34(11): 3332-3335.

ZHANG Yu WANG Xiaoyan. Multi-level image projection detection algorithm for low-altitude targets[J]. Journal of Computer Applications, 2014, 34(11): 3332-3335.

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低空目标的多级图像投影检测方法

Multi-level image projection detection algorithm for low-altitude targets

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