欢迎登录材料期刊网

材料期刊网

高级检索

针对毫米波辐射图像中目标定位的问题,提出了一种基于区域标记的毫米波辐射图像金属目标定位算法.该算法通过分析金属的毫米波辐射特性以及毫米波辐射图像的特点,利用区域标记算法对图像中金属目标进行分割,并引入基于面积的虚假目标去除准则,采用计算重心的方法实现了金属目标的定位.实验表明,该算法既能对图像中单个金属目标又能对图像中多个金属目标实现准确定位,且不论目标的外形如何,都能得到其精确的中心坐标,为下一步目标的选择与跟踪提供了依据.

参考文献

[1] Vang Huali,Li Xingguo,Peng Shusheng,et al.Passive millimeter-wave imaging technology[J].Journal of Infrared and Millimeter Waves (红外与毫米波学报),1997,16(4):297-302 (in Chinese).
[2] Zhang Zuyin,et al.Microwave Radiation Measurement Technology and Application (微波辐射测量技术及应用)[M].Beijing:Electronics Industry Press,1995.(in Chinese).
[3] Li Caihua,Wang Xin,et al.Application of edge detection technology in center recognition of workpiece[J].Journal of Transducer Technology (传感器技术),2005,24(4):73-75 (in Chinese).
[4] Liu Deshan,Shen Xiaojun.Automatic segmentation of cell image[J].Journal of Dalian Railway Institute (大连铁道学院学报),2004,25(4):59-62 (in Chinese).
[5] Zhang Xinyu,Liu Guangzhi,Li Jianxun,et al.An approach of object description for image segmentation and itsimplementation[J].Systems Engineering and Electronics (系统工程与电子技术),2003,25(2):219-222 (in Chinese).
[6] Chen Fengdong,Hong Bingrong.Object detecting method based on background image difference using dynamic threshold[J].Journal of Harbin Institute of Technology (哈尔滨工业大学学报),2005,37(7):883-884 (in Chinese).
[7] Zhang Mingtui,Dmitry B G.A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms[J].IEEE Transactions on Systems,Man and Cybernetics,2002,32(5):571-582.
[8] Li Xiaohong,Shirish B,Mansur R K.Labeling of MR brain images using boolean neural network[J].IEEE Transaction on Medical Imaging,1996,15(5):628-638.
[9] Xu Yaowu,Saber Eli,Murat T A.Object segmentation and labeling by learning from example[J].IEEE Transactions on Image Processing,2003,12(6):627-637.
[10] Stefano Luigi Di,Andrea B.A simple and efficient connected components labeling algorithm[C].Proceedings of IEEE ICIP,1999,9(27-29):322-327.
上一张 下一张
上一张 下一张
计量
  • 下载量()
  • 访问量()
文章评分
  • 您的评分:
  • 1
    0%
  • 2
    0%
  • 3
    0%
  • 4
    0%
  • 5
    0%