Magnetic tile image classification based on PCA preprocessing broad learning

Xuzhuo Zhang; Zuguo Chen

doi:10.1117/12.2627135

14 February 2022 Magnetic tile image classification based on PCA preprocessing broad learning

Xuzhuo Zhang, Zuguo Chen

Proceedings Volume 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021); 1216110 (2022) https://doi.org/10.1117/12.2627135
Event: 4th International Conference on Informatics Engineering and Information Science, 2021, Tianjin, China

Abstract

There is an urgent need for efficient magnetic tile image classification methods in the complex industrial background. Broad learning system (BLS) is a network structure that does not require depth. In order to further reduce the number of parameters that need to be calculated and improve the training efficiency of the network, the data set is enhanced and then the principal component analysis (PCA) is performed. Compared with broad learning, the method we proposed reduces the dimensionality of the data set and shortens the training and testing time from 2.93 to 0.63s while the classification accuracy is not much different.

Citation Download Citation

Xuzhuo Zhang and Zuguo Chen "Magnetic tile image classification based on PCA preprocessing broad learning", Proc. SPIE 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021), 1216110 (14 February 2022); https://doi.org/10.1117/12.2627135

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available