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基于HMM的红外点目标序列图像扰动补偿方法
引用本文:鲁林丽,丁明跃,刘小平.基于HMM的红外点目标序列图像扰动补偿方法[J].红外与激光工程,2000,29(4):30-33.
作者姓名:鲁林丽  丁明跃  刘小平
作者单位:华中理工大学图像识别与人工智能研究所图像信息处理与智能控制教育部重点实验室,武汉,430074
基金项目:高等学校博士学科点专项科研项目,,
摘    要:利用红外图像扰动信号短时平稳的特性,在统计的基础上提出采用隐马尔科夫模型统计信号模型来描述扰动,得到一种基于学习的扰动模型,并利用学习得到的模型参数计算后续帧中的扰动情况,进行预测补偿,以保证目标运动的连续性,克服扰动对跟踪的影响,实验取得了较好效果。

关 键 词:HMM  图像扰动  红外图像序列  扰动补偿
修稿时间:2000-03-17

Disturbance compensation method based on HMM in infrared image sequence
Lu Linli,Ding Mingyue,Liu Xiaoping.Disturbance compensation method based on HMM in infrared image sequence[J].Infrared and Laser Engineering,2000,29(4):30-33.
Authors:Lu Linli  Ding Mingyue  Liu Xiaoping
Abstract:A new method of compensating the disturbance of point target in infrared image sequence is given. HMM model is used to describe the disturbances of image sequence based on its transitory stability. First, the disturbance model and its parameters are got by learning previous data. Then, the disturbance is compensated by using value prediction flow of HMM model. The experiments illustrated that our method is feasible and the results are promising.
Keywords:HMM  Image disturbance  Infrared image sequence
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