红外技术, 2016, 38 (3): 197, 网络出版: 2016-10-19   

基于梯度能量函数的调焦窗口构建方法

Design of Focusing Window Based on Energy Function of Gradient
作者单位
1 天津大学精密测试技术及仪器国家重点实验室,天津 300072
2 中环天仪(天津)气象仪器有限公司,天津 300038
3 海司航保部,天津 300042
摘要
光电跟踪取证系统对运动目标进行跟踪拍摄时需要进行变焦和调焦,目标姿态和位置改变而产生调焦窗口偏离是导致传统自动调焦方法失效的主要原因。针对该问题,提出了一种针对跟踪目标动态建立调焦窗口的方法。该方法利用梯度能量评价函数提取目标特征,通过相关性处理和边界扩展建立调焦窗口,能克服调焦窗口偏离的缺陷。实验结果证明,对 704×576像元不同离焦状态的图像都可以在 20 ms内根据目标的位置和大小,构建准确有效的调焦窗口,满足光电跟踪取证系统对运动目标进行实时自动调焦的特殊要求。
Abstract
Zoom and focus are required when photoelectric tracking system is used to track moving targets. The deviation of focusing window caused by the change of target posture and position is the main reason that leads to the failure of automatical focusing. In light of this, a method to establish dynamic focusing window for target is proposed. We used gradient energy evaluation function to extract target features and then estab-lish focusing window by correlation treatment method and boundary expansion, which can overcome the de-fects of original method. The experiment results show that the new method can establish effective focusing window for 704×576 pixels images during 20 ms. The results demonstrate that this method can meet the need of real-time operation.
参考文献

[1] 朱孔凤, 姜威, 高赞, 等. 自动聚焦系统中聚焦窗口的选择及参量的确定[J].光学技术, 2006, 16(6): 836-840. Zhu Kongfeng, Jiang Wei, Gao Zan, et al. Focusing window choice and parameters determination in automatic focusing system[J]. Optical Tech-nique, 2006, 16(6): 836-840.

[2] 朱孔凤, 姜威, 王端芳 , 等. 用高斯非均匀采样解决自动聚焦中的误判[J].光学技术, 2005, 31(6): 910-912. Zhu Kongfeng, Jiang Wei, Wang Duanfang, et al. Using Gaussian une-qually spaced sampling to make automatic focusing result correct[J]. Optical Technique, 2005, 31(6): 910-912.

[3] 张乐, 姜威, 高赞. 数字图像一阶矩的自动聚焦区域选择算法 [J].光学技术, 2008, 34(2): 163-165. Zhang Le, Jiang Wei, Gao Zan. Automatic focusing region selection al-gorithm based on first order of digital image[J]. Optical Technique, 2008, 34(2): 163-165.

[4] 刘雪超 , 吴志勇 , 黄德天 , 等. 结合视觉感知的调焦窗口构建 [J].中国激光, 2014, 41(1): 191-198. Liu Xuechao, Wu Zhiyong, Huang Detian, et al. Designing of focus window combined with visual perception[J]. Chinese Journal of Lasers, 2014, 41(1): 191-198.

[5] 陈芳, 张存继, 韩延祥 , 等. 简单图像的快速聚焦 [J].光学精密工程 , 2014, 22(1): 220-227. Chen Fang, Zhang Cunji, Han Yanxiang, et al. Fast focus on simple images[J]. Optics and Precision Engineering, 2014, 22(1): 220-227.

[6] 刘雪超. 基于数字图像处理的自动调焦技术研究 [D].长春: 中国科学院研究生院长春光学精密机械与物理研究所, 2014. Liu Xuechao. Study on auto-focusing based on digital image processing technology[D]. Changchun:Changchun Institute of Optics, Fine Me-chanics and Physics, Chinese Academy of Sciences, 2014.

[7] 周贤, 姜威. 基于图像边缘能量的自动聚焦算法 [J].光学技术 , 2006, 32(2): 910-912. Zhou Xian, Jiang Wei. Auto-focus algorithm based on image edge ener-gy[J]. Optical Technique, 2006, 32(2): 910-912.

[8] Chiu Li-cheng, Fuh Chiou-shann. An efficient auto focus method for digital still camera based on focus value curve prediction model[J]. Jour-nal of Information Science and Engineering, 2010, 26(4): 1261-1272 .

[9] 梁敏华, 吴志勇 , 陈涛. 采用最大灰度梯度法实现经纬仪自动调焦控制[J].光学精密工程 , 2009, 17(12): 3016-3021. Liang Minhua, Wu Zhiyong, Chen Tao. Autofocusing adjustment of theodolites by largest the gradient method[J]. Optics and Precision Engi-neering, 2009, 17(12): 3016-3021.

[10] 张龙, 乔铁柱. 一种红外图像的二值化分割算法研究 [J].红外技术 , 2014, 36(8): 649-651. Zhang Long, Qiao Tiezhu. An binary segmentation algorithm for infra-red image[J]. Infrared Technology, 2014, 36(8): 649-651.

[11] 夏清, 胡振琪 , 许立江 , 等. 一种改进 Sobel算子的热红外影像边缘检测方法[J].红外技术 , 2015, 37(6): 462-466. Xia Qing, Hu Zhenqi, Xu Lijiang, et al. A modified edge extraction algo-rithm of infrared thermal image based on Sobel operator[J]. Infrared Technology, 2015, 37(6): 462-466.

郭敬滨, 冯华杰, 王龙, 彭勤建, 李醒飞. 基于梯度能量函数的调焦窗口构建方法[J]. 红外技术, 2016, 38(3): 197. GUO Jingbin, FENG Huajie, WANG Long, PENG Qinjian, LI Xingfei. Design of Focusing Window Based on Energy Function of Gradient[J]. Infrared Technology, 2016, 38(3): 197.

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