基于局部特征的二维白化重构  被引量:1

Local-Feature-Based Two-Dimensional Whitening Reconstruction

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作  者:田甲略 朱玉莲[2] 陈飞玥 刘佳慧 TIAN Jialue;ZHU Yulian;CHEN Feiyue;LIU Jiahui(College of Computer Science and Technology/College of Artificial Intelligence,Nanjing University of Aeronautics&Astronautics,Nanjing 211106,China;Fundamental Experimental Teaching Department,Nanjing University of Aeronautics&Astronautics,Nanjing 211106,China)

机构地区:[1]南京航空航天大学计算机科学与技术学院/人工智能学院,南京211106 [2]南京航空航天大学公共实验教学部,南京211106

出  处:《数据采集与处理》2022年第2期308-320,共13页Journal of Data Acquisition and Processing

基  金:国家自然科学基金(61703206)。

摘  要:白化是一种能够去除数据各属性间相关性的数据预处理方法。最近提出的二维白化重构方法(Two-dimensional whitening reconstruction,TWR)是一种针对单张图片的白化方法,阐述了TWR方法等价于基于图像列的ZCA白化,即TWR具有去除图像列内相关性的作用;但是图像局部块内的相关性往往远大于列内,因此本文从去除图像局部块内相关性的角度出发,提出了两种TWR的改进方法:基于重组的TWR(Reshaped-based TWR,RTWR)方法和基于块的TWR(Patch-based TWR,PTWR)方法。RTWR首先将图像进行重新组合使得每个列向量对应着原始图像的子块,然后将TWR预处理作用在重组后的图像上;而PTWR方法则将TWR直接作用在图像的每个子块上。在ORL、CMU PIE、AR三个人脸数据集上的实验结果表明,RTWR和PTWR预处理比TWR预处理更有利于后续分类性能的提高。Whitening is a preprocessing method that can remove the correlation between variables of data.Two-dimensional whitening reconstruction(TWR)is a new whitening method for a single image.In this paper,we will elaborate the equivalence between TWR and column-based ZCA whitening,that is,TWR can remove the correlation in image column.However,the correlation within the local block of the image is often much greater than that within the column.From the perspective of removing the correlation within the local block of the image,this paper proposes two improved TWR methods:reshaped-based TWR(RTWR)and patch-based TWR(PTWR).RTWR firstly reshapes an image to form a new matrix of which each column vector corresponds to the sub-block of the original image,and then performs the TWR on the reshaped matrix.In PTWR method,TWR is directly applied to each sub-block of the image.The experimental results on ORL,CMU PIE and AR face datasets show that RTWR and PTWR are more beneficial to improving the subsequent classification performance than TWR.

关 键 词:二维白化重构 ZCA白化 子图像 图像处理 相关性 

分 类 号:TP391[自动化与计算机技术—计算机应用技术]

 

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