Detection algorithms of aim points of IR warship images
-
摘要: 针对红外成像与跟踪系统中舰船目标自动识别转跟踪后的跟踪点自动选取问题, 提出了一种新的舰船目标要害点自动检测算法。基于舰船吃水线位于船体位置下方的几何关系以及动力舱的高亮度特征,检测吃水线和动力舱的交叉部位作为首要攻击点,将吃水线中部作为次要攻击点。首先对目标区域进行去噪预处理,通过Canny 边缘提取、边缘闭合、两次连通域去噪等操作滤除背景纹理杂波确定目标的边缘,然后对目标底部边缘进行分段直线拟合,将拟合结果作为吃水线,最后利用灰度值统计确定最亮区域为求取的动力舱位置。实验结果统计表明,该方法检测结果稳定,具有良好的鲁棒性,适用于不同观测方向下的红外舰船目标的要害点检测,为跟踪点的自动选取提供了有效解决方案。Abstract: In order to solve the problem of automatic selection of tracking point in target tracking after automatic target recognition of IR warship targets in the infrared imaging and tracking systems, a new automatic detection algorithm of ship aimpoint was proposed. Based on the waterline' s geometrical relationship below the warship and the high brightness characteristics of engine compartment, the cross part of the waterline and engine compartment was detected. This cross part was taken as the primary aimpoint of IR warship target. Otherwise, the central part of the waterline would be taken as the aim point of IR warship target. First of all, the de-noising pretreatment of target area was used, through the Canny egde-detection, edge closed and two connected domain de-noising operations, the background texture clutter was removed to determine the edge of target. Then, piecewise linear fitting on the target bottom edge was used and the curve fitting results would be taken as the waterline. Finally, the gray In order to solve the problem of automatic selection of tracking point in target tracking after automatic target recognition of IR warship targets in the infrared imaging and tracking systems, a new automatic detection algorithm of ship aimpoint was proposed. Based on the waterline' s geometrical relationship below the warship and the high brightness characteristics of engine compartment, the cross part of the waterline and engine compartment was detected. This cross part was taken as the primary aimpoint of IR warship target. Otherwise, the central part of the waterline would be taken as the aim point of IR warship target. First of all, the de-noising pretreatment of target area was used, through the Canny egde-detection, edge closed and two connected domain de-noising operations, the background texture clutter was removed to determine the edge of target. Then, piecewise linear fitting on the target bottom edge was used and the curve fitting results would be taken as the waterline. Finally, the gray value statistics was calculated to get the brightest area as the position of engine compartment. The experimental results show that this method has stability testing results and good robustness. It can be applied to detect the aim point of IR warship target in different viewing directions. The algorithm provides an effective solution for the problem of automatic selection of tracking point in target tracking.
-
Key words:
- target aimpoint detection /
- precision guiding /
- infared image /
- warship target /
- waterline
-
[1] [2] Yang Mingyue, Yang Weiping. Automatic detection method of IR warship target in the complex sea-sky background[J]. Infrared and Laser Engineering, 2008, 37(4): 638-641. (in Chinese) 杨明月, 杨卫平. 复杂海天背景下红外舰船目标的自动检 测方法[J]. 红外与激光工程, 2008, 37(4): 638-641. [3] [4] Zhang Tianxu, Chen Jie, Lin Kai, et al. Investigation of recognizing aimpoint of warship's long wave infrared images[J]. Infrared and Laser Engineering, 2000, 29(1): 13-16. (in Chinese) 张天序, 程杰, 林凯, 等. 舰船目标长波红外图像命中点识 别研究[J]. 红外与激光工程, 2000, 29(1): 13-16. [5] Dai Shengkui, Shang Nong, Wang Xinsai. Definition of aim points of IR warship images and fast algorithm [J]. Infrared and Laser Engineering, 2001, 30(6): 417-417. (in Chinese) 戴声奎, 桑农, 王新赛. 红外舰船要害点定义及其快速实 现算法[J]. 红外与激光工程, 2001, 30(6): 417-417. [6] [7] Zhuo Bingrong. The research on infrared ship recognition and track technology under the sea clutter [D]. Changsha: National University of Defense Technology, 2011. (in Chinese) 卓炳荣. 海面背景下的红外舰船目标识别跟踪技术研究[D]. 长沙: 国防科技大学, 2011. [8] [9] Liu Yanwu, He Youjin, Lu Bin, et al. Infrared image pretreatment for warship targets [J]. Infrared Technique, 2003, 25(3): 9-12. (in Chinese) 刘延武, 何友金, 陆斌, 等. 舰船目标红外图像预处理[J]. 红外技术, 2003, 25(3): 9-12. [10] [11] [12] Li Junsan, Ma Ying, Zhao Fangzhou, et al. An improved Canny edge detection algorithm [J]. ATC Photonica Sinica, 2011, 12(40): 50-54. (in Chinese) 李俊山, 马颖, 赵方舟, 等. 改进的Canny 图像边缘检测算 法[J]. 光子学报, 2011, 12(40): 50-54. [13] Li Zhiyong, Jin Fusun, Zhong Kang. Target Tracking and Aimpoint Selection In Homing Stage[R]. Changsha: National University of Defence Technology, 2002.
计量
- 文章访问数: 493
- HTML全文浏览量: 88
- PDF下载量: 214
- 被引次数: 0