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基于NMI特征的目标识别与跟踪
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2009-07-15
张丽
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本文提出一种全新的图像分割方法——连通线多级切割方法，并在此基础上建立图像NMI特征的目标识别与跟踪算法。文章给出了运用连通线多级切割方法实现阈值求取、图像分割、目标识别与跟踪的技术技巧。通过实验验证了NMI特征的缩放不变性、旋转不变性和平移不变性以及不同物体的NMI特征差异，表明本文算法具有良好的实时性和精确的目标识别与跟踪效果。
关键词 不变特征 阈值 OTSU算法 图像分割 NMI特征 目标识别
Abstract In this paper, a new method of Image Segmentation, namely Consecutive Line Multilevel Segmentation, and the algorithm of Target Recognition and Tracking based on Normalized Moment of Inertia (NMI) feature are introduced. The definition of Centre of Mass and NMI feature is proposed and the principle and methods of Threshold calculation, Image segmentation, Target recognition and tracking are presented. Then, the scaling invariability, rotation invariability, translation invariability of NMI feature and the NMI feature difference of various objects are validated by experiment. The experimental results show that the algorithm discussed in this paper is very practical with good real time and accurate effect of Target recognition and tracking.
Key words Invariant feature/ Threshold/ OTSU algorithm/ Image segmentation/ NMI feature/ Target recognition
关键词 不变特征 阈值 OTSU算法 图像分割 NMI特征 目标识别
Abstract In this paper, a new method of Image Segmentation, namely Consecutive Line Multilevel Segmentation, and the algorithm of Target Recognition and Tracking based on Normalized Moment of Inertia (NMI) feature are introduced. The definition of Centre of Mass and NMI feature is proposed and the principle and methods of Threshold calculation, Image segmentation, Target recognition and tracking are presented. Then, the scaling invariability, rotation invariability, translation invariability of NMI feature and the NMI feature difference of various objects are validated by experiment. The experimental results show that the algorithm discussed in this paper is very practical with good real time and accurate effect of Target recognition and tracking.
Key words Invariant feature/ Threshold/ OTSU algorithm/ Image segmentation/ NMI feature/ Target recognition
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