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基于模糊模式识别的场景图像分类方法 被引量:7

Classification Method of Scene Pictures Based on Blur Pattern Recognition
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摘要 为解决装甲车车载图像跟踪系统中对场景进行分类的问题,提出了一种根据模糊模式识别原理对场景图像进行分类的方法。首先通过建立场景图像的特征向量来对场景进行描述,并根据所选特征参数设计了矢量隶属函数,然后通过计算隶属函数的值来对场景图像进行分类。实验证明,场景分类的结果对跟踪系统中目标提取方法的选取,有较好的指导作用。 In order to classify the scene pictures in image tracking system on armored vehicle, this paper pats forward a classification method based on blur pattern recognition principle. It first constructs feature vector to describe the scene, and then designs vector membership function according to the selected feature parameters, finally classifies the scene pictures by computing the value of membership function. As experiment shows, the scene classification result provides a good guidance for selecting target extracting algorithm in image tracking system.
出处 《微计算机信息》 北大核心 2007年第34期220-221,259,共3页 Control & Automation
基金 国家自然科学基金项目(10376043A06)
关键词 场景分类 模糊模式识别 隶属函数 四叉树 scene classification, blur pattern recognition, membership function, quad tree
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  • 1刘素华,侯惠芳,刘东.模糊模式识别在大气质量评定中的应用[J].计算机工程,2005,31(2):174-175. 被引量:7
  • 2杨晓敏,罗立民,韦钰.血液白细胞计算机分类中的特征提取研究[J].应用科学学报,1994,12(2):120-126. 被引量:14
  • 3姜斌,王宏强,黎湘,郭桂蓉.海杂波背景下的目标检测新方法[J].物理学报,2006,55(8):3985-3991. 被引量:22
  • 4陈双平,郑浩然,马猛,张振亚,王煦法.用统计物理的方法计算信源熵率[J].电子与信息学报,2007,29(1):129-132. 被引量:3
  • 5Falconer K. Fractal Geometry: Mathematical Foundations and Applications (second edition) [M]. England: John Wiley & Sons, 2003: 3-108.
  • 6Meneveau C and Chhabra A. Two-point statistics of multifractal measures[J]. Physica A, 1990, 164: 564-576.
  • 7O'Neil J and Meneveau C. Spatial correlation in turbulence: Predications from the multifractal formalism and comparison with experiments[J]. Physics Fluids A, 1993, 5(1): 158-172.
  • 8Vapnik V N. The Nature of Statistical Learning Theory[M]. New York: Springer-Verlag, 1995: 5-39.
  • 9Ji Ai-bing, Pang Jia-hong, and Li Shu-huan. Support vector machine for classification based on fuzzy training data[C]. Proceedings of the 5th International Conference on Machine Learning and Cybernetics, Dalian, 2006: 1609-1614.
  • 10ht tp://soma.ece.mcmaster.ca/ipix[EB/OL].

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