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于 2013-10-09 发布 文件大小:15372KB
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  有关粒子滤波及其改进算法的资料,对初学粒子滤波算法的人很有帮助(Information about particle filter and its improved algorithm, is of great help to beginners of particle filter algorithm )

文件列表:

粒子滤波
........\一种改进重采样的粒子滤波算法.pdf,279094,2013-05-28
........\基于改进粒子滤波算法的多目标智能视频跟踪研究_韩华.caj,13414517,2013-05-30
........\基于粒子滤波衰减因子抑制干扰的组合导航信息融合算法.pdf,209337,2013-05-22
........\改进的无迹粒子滤波在组合导航中的应用研究_张洋溢.pdf,295338,2013-05-30
........\改进的无迹粒子滤波算法_曲彦文.pdf,444425,2013-05-31
........\改进的粒子滤波算法_余熙.pdf,704698,2013-05-23
........\目标跟踪的自适应双重采样粒子滤波算法.pdf,1267833,2013-05-30
........\粒子群优化人工免疫粒子滤波器_杜正聪.pdf,278517,2013-05-30
........\运用聚类方法的分层采样粒子滤波算法_周航.pdf,739517,2013-05-28

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    说明:  灰度直方图双峰法分割,传统的分割方法。适合初学者学习。(Bimodal histogram segmentation method)
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    针对可见光与红外图像的特点和难点,提出了可见光与红外图像配准与融合中的关键技术,即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法,特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. (For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode.)
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