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中文摘要：
针对传统互信息缺乏利用空间信息而容易导致误配的缺点,提出了基于分块互信息的多模图像配准方法,并运用于可见光与红外图像之间的配准。该方法首先将可见光与红外图像分块,求得每个可见光与红外图像块对的互信息,并由块对中可见光与红外图像的质心间的距离为参数,确定块对的配准系数,求得每个块对的互信息与配准系数的乘积的和,定义为分块互信息,并以此为配准准则。实验表明,该方法运用与可见光与红外光配准,在配准精度上优于传统互信息方法。
英文摘要：
It would cause mistakes in the process of image registration due to absence of spatial information in the conventional registration method based on mutual information.A multi-modality image registration method is proposed based on block mutual information,which is applied to the registration of visual and infrared image.Firstly,both the infrared and visual images are divided into parts,based on which,the mutual information of each block-pairs is computed.Secondly,the distance between the centroid of the infrared and visual images in each block-pairs is computed,and the parameters of registration are obtained.The sum of the products between the mutual information and the registration parameters for each block pairs is computed,which is used as the criterion of image registration.Experiment results show that,image registration based on block mutual information will get more accurate result than traditional method.
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An optimal symmetrical null space criterion of Fisher discriminant for feature extraction and recogn
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