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红外图像目标分割方法研究 被引量:5

Research on the Target Segmention Method of Infrared Image
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摘要 针对红外图像目标准确分割的难题 ,提出了一种有效的目标分割方法。该方法所遵循的基本准则是 ,使区域内部所考虑的特征或属性相同或相似 ,而这些特征或属性在不同区域中则是不同的或存在差异的。依据这个准则运用最大距离法和自动增强图像分割门限的方法实现了红外图像中目标的准确分割 ,并且通过实验验证了本方法的有效性。 With the view of segmenting a target accurately, this paper describes a target segmentation algorithm. It is based on the following criterion, i.e., the features or property are the same or similar within the regions, while different in different regions. According to this criterion,we used the maximum distance and automatic enhanced image segmentation threshold methods to realize an accurate infrared image target segmentation . The experimental result shows that the method is practical.;
出处 《系统工程与电子技术》 EI CSCD 北大核心 2002年第1期74-75,85,共3页 Systems Engineering and Electronics
基金 国防科技重点实验室基金资助课题 (347A1)
关键词 红外图像 目标分割 图像处理 Infrared image Target segmentation Image processing
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参考文献2

  • 1[1]Hong Z Q. Algebriac Feature Extraction of Image for Recognition, Pattern Recognition[J].1991 A. Mahalanobis, B.V.K.Kumar,1991,24(3):211-219.
  • 2[2]Kuncheva R A. Pattern Recognition Method Using Two-Dimensional Hadamard Transfrom[C].Proc. of 7th Intern. Conf. on Robot Vision Sensory Controls: Rovisec-7 Advanced Sensor Technology, Zurich, Switzerland,1988:231-236.

同被引文献34

  • 1费佩燕,郭宝龙,孟繁杰,章正宇,张小龙.基于统计对消的激光水下图像的目标提取法[J].中国激光,2004,31(7):815-819. 被引量:7
  • 2顾静良,张卫,万敏.基于灰度形态学和邻域熵值的弱小目标检测[J].强激光与粒子束,2004,16(12):1527-1530. 被引量:22
  • 3胡柳,解梅.基于时空联合的红外运动目标分割算法[J].红外技术,2006,28(5):271-274. 被引量:3
  • 4孙即祥.数字图像处理[M].石家庄:河北教育出版社,1993..
  • 5Yun Ting-jin,Guo Yong-cai, Gao Chao. Human detection in far-infrared images based on histograms of maximal oriented energy map[ A ]. In: Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition[ C], Beijing, China, 2007:933-938.
  • 6Fang Y, Yamada K, Ninomiya Y, et al. Comparison between infraredimage-based and visible-image-based approaches for pedestrian detection [ A ] . In: Proceedings of Ⅳ2003 Conference [ C ] , Columbus, OH, USA, 2003: 505-510.
  • 7Yang Xuan, Pei Ji-hong. Head location based on fuzzy weighted projection histogram in infrared thermal sequences [ A ] . In: Proceedings of International Symposium on Intelligent Multimedia, Video and Speech Processing [ C ], HongKong, China, 2004: 117-120.
  • 8Meyer, Fernand. Topographic distance and watershed lines [ J]. Signal Processing, 1994, 38(1) : 113-125.
  • 9Roerdink J B T M, Meijster A. The watershed transform: definitions, algorithms and parallelization strategies[ J]. Fundamenta Informaticae, 2000, 41(1-2) :187-228.
  • 10Comaniciu D, Meer P. Mean shift analysis and applications[ A]. In: Proceedings IEEE International Conference on Computer Vision [ C ], Kerkyra, Corfu, Greece, 1999 : 1197-1203.

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