一种基于主成分分析的图像光照校正算法

Journal of Jilin University Science Edition ›› 2022, Vol. 60 ›› Issue (6): 1377-1382.

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An Image Illumination Correction Algorithm Based on Principal Component Analysis

ZHANG Zhen¹, ZHAO Qipeng¹, ZHU Liucun¹, LIU Jichen², LUO Junqi¹, WEI Jinzhan¹, LI Xue³

1. Advanced Science and Technology Research Institute, Beibu Gulf University, Qinzhou 535001, Guangxi Zhuang Autonomous Region, China;
2. College of Software, Jilin University, Changchun 130012, China; 3. Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun 130018, China

Received:2022-01-04 Online:2022-11-26 Published:2022-11-26

Abstract

Abstract: Aiming at the illumination correction problem of the image interfered by the same illumination conditions, we proposed an image illumination correction algorithm based on principal component analysis. Firstly, a covariance matrix was constructed by using given multiple images, and the eigenvalues and eigenvectors were calculated. Secondly, a set of normal orthogonal bases was constructed according to the eigenvectors. Finally, a part of substrate principal component was selected to reconstruct the image.
The experimental results show that the algorithm can eliminate the influence of illumination and retain the main features of the image. Compared with the classical algorithm, the effectiveness of the algorithm is verified.

Key words: principal component analysis, image processing, illumination correction, eigenvector

CLC Number:

TP391.41

ZHANG Zhen, ZHAO Qipeng, ZHU Liucun, LIU Jichen, LUO Junqi, WEI Jinzhan, LI Xue. An Image Illumination Correction Algorithm Based on Principal Component Analysis[J].Journal of Jilin University Science Edition, 2022, 60(6): 1377-1382.

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An Image Illumination Correction Algorithm Based on Principal Component Analysis

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